Статьи 2020 года (P...Z)
Palau A.S., Liang Z., Lutgehetmann D., & Parlikad A.K. (2020). Collaborative Prognostics in Social Asset Networks // In Value Based and Intelligent Asset Management (pp. 329349). Springer, Cham. Palomo S., Pender J. Learning lindley’s recursion // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 644655.In this paper, we leverage stochastic simulation and current machine learning methods to learn the Lindley recursion directly from waiting time data of the G/G/1 queue. Panadero J., Calvet L, Bayliss C., Marques J.M., Selimi M., Freitag F. A simheuristic algorithm for service placement in community networks // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 632643.Our approach combines Monte Carlo simulation and the multicriteria optimal placement heuristic, The method is tested using real traces of Guifi.net community network (CN), which is considered to be largest CN worldwide. Panadero J., Juan A.A., Freixes A., Grifoll M., Serrat C. An agile simheuristic for the stochastic team task assignment and orienteering problem: applications to unmanned aerial vehicles // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 13241335.Paredis R., Van_Mierlo S., Vangheluwe H. Translating process interaction world view models to DEVS: GPSS to (Python (P)) DEVS // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 10161026.We describe a translation of the classic process interaction language GPSS developed by Gordon in the early 1960s onto DEVS, a modular discreteevent modelling and simulation language with precise semantics developed by Zeigler in the late 1970s. We specify and implement a translation that produces, for each GPSS model, a behaviourally equivalent DEVS model. Parsa A.B., Movahedi A., Taghipour H., Derrible S., Mohammadian A.K. (2020). Toward safer highways, application of XGBoost and SHAP for realtime accident detection and feature analysis // Accident Analysis & Prevention, 136, 105405. Pasupathy R., Yeh Y. Riskefficient sequential simulation estimators // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 28792886.Patel K., Berg B., Vahdat V. Using simulation to evaluate operational tradeoffs associated with the use of care teams in specialty care settings // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 842852.We develop a discreteevent simulation model to evaluate resource allocation policies in an outpatient specialty clinic. Paul R., Eaton S.E., Laird G., Nelson N., Brennan R. (2020). Using agentbased modelling for EER experimental design: preliminary validation based on student cheating behaviours // Proceedings of the Canadian Engineering Education Association (CEEA). Payette N. (2020). Collaborating Like Professionals: Integrating NetLogo and GitHub // In Advances in Social Simulation (pp. 343348). Springer, Cham. PeckerMarcosig E., Zudaire S., Garrett M., Uchitel S., Castro R. Unified DEVSbased platform for modeling and simulation of hybrid control systems // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 10511062.We model and simulate the hybrid robotic software architecture of a fixedwing UAV, including the full stack of controllers involved: discrete, hybrid and continuous. Pei L., Nelson B.L., Hunter S.R. Evaluation of biPASS for parallel simulation optimization // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 29602971.Cheap parallel computing has greatly extended the reach of ranking & selection (R&S) for simulation optimization. In this paper we present an evaluation of biPASS, a R&S procedure created specifically for parallel implementation and very large numbers of system designs. We compare biPASS to the stateoftheart Good Selection Procedure and an easytoimplement subset selection procedure. Philips I. (2020). An Agent Based Model to Estimate Lynx Dispersal if ReIntroduced to Scotland // Applied Spatial Analysis and Policy, 13(1), 161185. PlatasLopez A., GuerraHernández A., CruzRamírez N., QuirozCastellanos M., Grimaldo F., Paolucci M., Cecconi F. (2020). Towards an AgentBased Model for the Analysis of Macroeconomic Signals // In Intuitionistic and Type2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications (pp. 551565). Springer, Cham. Pourrahimian E., Al_Hattab M., Ead R., Labban R.R., AbouRizk S. A simulationbased decisionsupport system for reducing duration, cost, and environmental impacts of earthmoving operations // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 668679.This study develops a discreteevent simulationbased decisionsupport system (DESDSS) for selecting the optimal equipment fleet, while considering the tradeoffs between time, cost, and environmental impacts. Prabhu V.G., Taaffe K., Caglayan C., Isik T., Song Y., Hand W. Team based, risk adjusted staffing during a pandemic: an agent based approach // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 747758.PugaGonzalez I., McCaffree K., Shults F.L. Best friends forever? Modeling the mechanisms of friendship network formation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 25772588.Rabe M., ChicaizaVaca J., Tordecilla R.D.., Juan A.A. A simulationoptimization approach for locating automated parcel lockers in urban logistics operations // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 12301241.Raczynski S. (2020). PreyPredator Models Revisited: Uncertainty, Herd Instinct, Fear, Limited Food, Epidemics, Evolution, and Competition // In Interacting Complexities of Herds and Social Organizations (pp. 107132). Springer, Singapore. Rahman A., Naufal F., Partiwi S. G. (2020, June). Measuring the entropy of organizational culture using agentbased simulation // In Managing Learning Organization in Industry 4.0: Proceedings of the International Seminar and Conference on Learning Organization (ISCLO 2019), Bandung, Indonesia, October 910, 2019 (p. 109). Routledge. Ralph M. (2020). Emergent patterns in deterministic modeling // International Journal of Mathematical Education in Science and Technology, 111. RamírezVillamil A., MontoyaTorres J.R., Jaegler A. A simheuristic for the stochastic twoechelon capacitated vehicle routing problem // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 12761287.This paper proposes a solution approach based on optimizationsimulation to solve the two echelon vehicle routing problem with stochastic travel times. For the objective function, this paper considers the minimization of travel times. Ramzy N., Martens C.J., Singh S., Ponsignon T., Ehm H. First steps towards bridging simulation and ontology to ease the model creation on the example of semiconductor industry // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 17891800.This paper explains how ontologies can be used to develop and deploy simulation applications, with interoperability and knowledge sharing at the semantic level. This paper proposes a concept to automatically build simulations using ontologies and its preliminary results. Rashid K., Louis J., Swanson C. Optimizing labor allocation in modular construction factory using discrete event simulation and genetic algorithm // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 25692576.This paper presents a resource allocation framework combining discrete event simulation model and genetic algorithm to facilitate datadriven decision making. Ratusny M., Ay A., Ponsignon T. Characterizing customer ordering behaviors in semiconductor supply chains with convolutional neural networks // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 18311942.Reilly E.P., Agarwala S., Kelbaugh M.T., Ciesielski A., Ebeid H.J.M., Hughes M. Modeling the relationship between food and civil conflict // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 715726.We built a system of systems model to better understand the relationship between the agricultural sector, other economic factors, and changes in the expected value of conflict. Our model integrates multiple factors, including food production, food trade, population, and civil conflict, and determines their interdependencies based on shared inputs or outputs. RenteriaMarquez I.A., Almeraz C.N., Tseng T.L.B., Renteria A. A Heijunka study for automotive assembly using discreteevent simulation: a case study // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 16411651.This paper presents a methodology to model with a high degree of accuracy the production floor, warehouse and material handling system of an automotive assembly facility through discreteevent simulation software. Rezaeiahari M., Lazic A. Evaluating staffing levels in milk lab using discrete event simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 900909.This study uses discrete event simulation to evaluate various staffing levels at a milk lab in an academic medical center. The studied milk lab operates 10 hours a day and 7 days a week and processes on average 45 orders from a 64bed Neonatal Intensive Care Unit. Rippel D., Jathe N., Lutjen M., Freitag M. A mixedinteger formulation to optimize the resupply of components for the installation of offshore wind farms // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 14201431.This article proposes a MixedInteger formulation for the optimization of supply deliveries to the base port. Rizana A.F., Ramadhan F. (2020). Penerapan AgentBased Simulation dalam Memprediksi Penggunaan Berkelanjutan Sistem ERP // Jurnal Teknologi Informasi dan Ilmu Komputer, 7(2). Simulation and optimization of traction unit circulations // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 90101.The paper first presents the used data and the delay prediction. Afterwards, the modeling and simulation part and the optimization are presented. At last, the interaction of simulation and optimization are described and promising results of a test case are shown. Rodriguez B., Yilmaz L. Learning rulebased explanatory models from exploratory multisimulation for decisionsupport under uncertainty // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 22932304.Rolf B., Reggelin T., Nahhas A., Muller M., Lang S. Scheduling jobs in a twostage hybrid flow shop with a simulationbased genetic algorithm and standard dispatching rules // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 15841595.The paper proposes a simulationbased hyperheuristics approach to generate schedules for a twostage hybrid flow shop scheduling problem with sequencedependent setup times. Ruscheinski A., Wolpers A., Henning P., Warnke T., Haack F., Uhrmacher A.M. Pragmatic logicbased spatiotemporal pattern checking in particlebased models // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 22452256.Ryder E., Ruiz C., Weaver S., & Gegear R. (2020). Choosing Your Own Adventure: Engaging the New Learning Society through Integrative Curriculum Design // EPiC Series in Education Science, 3, 188199. Sabzian H., Shafia M.A., Ghazanfari M., Bonyadi Naeini, A. (2020). Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on AgentBased Modeling and Social Network Theory. Sustainability, 12(7), 2904. Sadler T.D., Friedrichsen P., Zangori L., Ke L. (2020). TechnologySupported Professional Development for Collaborative Design of COVID19 Instructional Materials // Journal of Technology and Teacher Education, 28(2), 171177. Saiz M., Lostumbo M.A., Juan A.A., LopezLopez D. On the use of simulationoptimization in sustainability aware project portfolio management // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 24932504.Sakahira F., Yamaguchi Y., Osawa R., Kishimoto T., Okubo T., Terano T., Tsumura H. Generating hypotheses on prehistoric cultural transformation with agentbased evolutionary simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 373384.We propose an agentbased evolutionary simulation analogous to a genetic algorithm for generating hypotheses on prehistoric cultural transformation. As an application case study, we examine the mechanism of change in the composition of structural remains at the Jomon to Yayoi period sites in Western Japan. Sanchez S.M., Sanchez P.J., Wan H. Work smarter, not harder: a tutorial on designing and conducting simulation experiments // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 11281142.In this tutorial, we demonstrate the basic concepts important for designing and conducting simulation experiments, and provide references to other resources for those wishing to learn more. Santoro M., Mazzetti P., Nativi, S. (2020). The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition // Remote Sensing, 12(11), 1795. Santos F., Nunes I., Bazzan A.L. (2020). Quantitatively Assessing the Benefits of Modeldriven Development in Agentbased Modeling and Simulation // Simulation Modelling Practice and Theory, 102126. Saoud M.S., Boubetra A., Attia S. (2020). A Simulation Knowledge ExtractionBased Decision Support System for the Healthcare Emergency // Hospital Management and Emergency Medicine: Breakthroughs in Research and Practice: Breakthroughs in Research and Practice, 192. Sargent R.G. Verification and validation of simulation models: an advanced tutorial // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 1629.Verification and validation (V&V) of simulation models are discussed in this paper. Different approaches to deciding model validity are described and a graphical paradigm that relates V&V to the model development process is presented and explained. Conceptual model validity, model verification, operational validity, and data validity are discussed, documentation is briefly covered, and a recommended procedure for model validation is presented. Savaglio C., Ganzha M., Paprzycki M., Bădica C., Ivanovic M., & Fortino G. (2020). Agentbased Internet of Things: Stateoftheart and research challenges // Future Generation Computer Systems, 102, 10381053. Schaff F. (2020). Conceptualising Artificial Anasazi with an Explicit Knowledge Representation and Population Model // In Advances in Social Simulation (pp. 399403). Springer, Cham. Schmaler R., Hammel C., Schubert C. Static AMHS simulation based on planned product mixes // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 16881699.Schmaranzer D., Kiefer A., Braune R., Doerner K.F. Simulationbased replacement line and headway optimization // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 30693080.We present a study on simulationbased replacement line and headway optimization for the Viennese public transportation system. The discussed problem focuses on scheduled closures of subway lines. A genetic algorithm is proposed to design replacement lines and potentially adjust the headways of all lines in the network. Schnure M., Kasaie P., Dowdy D., Weir B., Dun C., Beyrer C. Assessing the impact of targeted screening and treatment of diabetes and hypertension among adults living with HIV in Nairobi, Kenya // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 980991.Schumacher B.C., Kohl H. Learning environment for introduction in discreteevent simulation for design and improvement of new and existing material flow systems // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 32243235.In this paper, ways are shown how students can be familiarized with executing simulation studies for the design and improvement of new and existing material flow systems using flexible discreteevent simulation tools. Schumacher C., Buchholz P., Fiedler K., Gorecki N. Local search and tabu search algorithms for machine scheduling of a hybrid flow shop under uncertainty // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 14561467.In production systems, scheduling problems need to be solved under complex environmental conditions. In this paper, we present a comprehensive scheduling approach that is applicable in real industrial environments. Schwientek A.K., Lange A.K., Jahn C. Effects of terminal size, yard block assignment, and dispatching methods on container terminal performance // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 14081419.Seidel G., Lee C.F., Tang A.Y., Low S.L., Gan B.P., Scholl W. Challenges associated with realization of lot level fab out forecast in a giga wafer fabrication plant // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 12061217.We compare two different methods to predict cycle times and delivery forecasts on product and lot level for a frontend production: a Big Data approach, where historical data is analyzed to predict future behavior, and a fab simulation model. SerranoHernandez A., Faulin J., de la Torre R. Agentbased simulation improves egrocery deliveries using horizontal cooperation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 12421253.Sharma A., Tale E., Hernandez M., Phuong V. (2020). Engaging students with computing and climate change through a course in Scientific Computing // Journal of STEM Education: Innovations and Research, 20(2). Shen Y., Shoemaker C.A. Global optimization for noisy expensive blackbox multimodal functions via radial basis function surrogate // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 30203031.This study proposes a new surrogate global optimization algorithm that solves problems with expensive blackbox multimodal objective functions subject to homogeneous evaluation noise. Specifically, we propose a new radial basis function surrogate to approximate noisy functions and extend the Stochastic Response Surface method, which was developed for deterministic problems, to optimize noisy functions. Shi V.G., Hughes R., McKay A., Chittenden R., Waller A. Visualising the impact of early design decisions on a modular housing supply network // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 14321443.This paper illustrates how simulation models can be derived from design characteristics, experiential data, and a pragmatic system engineering design ‘vee’ framework. Shiflet A.B., Shiflet G.W., Cannataro M., Guzzi P H., Zucco C., & Kaplun D.A. (2020). What Are the Chances?—Hidden Markov Models // In An Introduction to Undergraduate Research in Computational and Mathematical Biology (pp. 353400). Birkhäuser, Cham. Shinde S.B., Kurhekar M.P. (2020) AgentBased Modeling of the Adaptive Immune System Using Netlogo Simulation Tool // In: Das K., Bansal J., Deep K., Nagar A., Pathipooranam P., Naidu R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. Shrinidhi K.R., Sneha V., Jain V., Nair M.K. (2020). MultiagentBased Systems in Machine Learning and Its Practical Case Studies // In Machine Learning for Intelligent Decision Science (pp. 153189). Springer, Singapore. Siess J., Gold H., Ponsignon T. Modelling and mathematical optimization for capacity planning of a semiconductor wafer test module // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 19101920.This paper focuses on scheduling and capacity planning problems in semiconductor wafer test. The planning of wafer test as the final stage of the semiconductor frontend manufacturing process is very complex due to many uncertain factors. Silva A., & Oliveira M. (2020, January). Simulando o Jogo de Negociação Pit Game em um Sistema MultiAgentes Implementado com o Framework JaCaMo // In Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional (pp. 938948). SBC. Silverman E., Gostoli U. Phase: facilitating agentbased modelling in population health // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 135146.Singh R.K., Sardar M., & Das D. (2020). Assembling MultiRobots Along a Boundary of a Region with Obstacles—A Performance Upgradation // In Advances in Computational Intelligence (pp. 201212). Springer, Singapore. Sismondo J., Sarhangian V., Borg E., Roberge E., Berger F.H. Emergency imaging after a mass casualty incident: an operational perspective via a simulation study // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 853863.Smit A., Adan J., Deenen P.C. Multiobjective optimization of a sorting system // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 17181729.This paper addresses the optimization of a sorting system encountered in the semiconductor industry. The system consists of parallel sorting machines and a material handler to transport materials to, from and between machines. Sopamena P., Andriansyah R., & Sopamena K. (2020). Analysis of Understanding of Student Concepts in Solving Absolute Value Problems // Matematika dan Pembelajaran, 7(2), 4250. Squazzoni Flaminio; Polhill J. Gareth; Edmonds Bruce; Ahrweiler Petra; Antosz Patrycja; Scholz Geeske; Chappin Émile; Borit Melania; Verhagen Harko; Giardini Francesca; Gilbert Nigel (2020). Computational models that matter during a global pandemic outbreak: A call to action // Journal of Artificial Societies and Social Simulation. 23 (2): 10. doi:10.18564/jasss.4298. Stetsenko I.V., Dyfuchyn A. Petriobject Simulation: Technique and Software. Information, Computing and Intelligent Systems 1, 5159 (2020). Stevanovic A., & Mitrovic N. (2020). Impact of conflict resolution parameters on combined alternatedirections lane assignment and reservationbased intersection control // European Transport Research Review, 12(1), 110. Stogniy I., Scholl W. Using accuracy measurements to evaluate simulation model simplification // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 18251836.This paper considers a simplification of the process flows through operation substitution for constant delays. Sturrock D.T. Tested success tips for simulation project excellence // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 11431151.Sudacevschi V., Ababii V., Munteanu S. Distributed DecisionMaking MultiAgent System in MultiDimensional Environment // ARA Journal of Sciences, 3/2020, pp. 7480, ISSN: 08961018. Suharko A.B. A capacity planning through discrete event simulation // Jurnal Penelitian dan Aplikasi Sistem & Teknik Industri (PASTI). Vol. XIV, No. 2, Agustus 2020, pp.146156. pISSN 20855869/ eISSN 25984853.Sundar S., Battistoni C., McNulty R., Morales F., Gorky J., Foley H., Dhurjati P. (2020). An agentbased model to investigate microbial initiation of Alzheimer’s via the olfactory system // Theoretical Biology and Medical Modelling, 17(1), pp.115. Surdu J.R., Harrington D., Black J., Lynch T., Schmitz W., Bracken J. Low altitude air defense training system // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 19741982.This paper describes the development of a surrogate Stinger missile that facilitates both home station and deployed forceonforce training. Suslov S., Katalevsky D. Modeling and simulation toolset // Evolving Toolbox for Complex Project Management / Ed. by A. Gorod, L. Hallo, V. Ireland, I. Gunawan. Boca Raton. FL : CRC Press. 2020. Pp. 417450. Swan B., Nambiar S., Koutouan P., Mayorga M.E., Ivy J., Fransen S. Evaluating diabetic retinopathy screening interventions in a microsimulation model // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 944955.Szczepanska T., Priebe M., Schroder T. (2020). Teaching the Complexity of Urban Systems with Participatory Social Simulation // In Advances in Social Simulation (pp. 427439). Springer, Cham. Tan W.J., Andelfinger P., Cai W., Knoll A., Xu Y., Eckhoff D. Multithread state update schemes for microscopic traffic simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 182193.In this paper, we first analyze the common properties of models used in microscopic traffic simulation to understand the impact of their data dependencies. We discuss synchronous and asynchronous agent update schemes and compare them in terms of performance and requirements. Tariq A., Roosa K., Chowell G. Using simple dynamic analytic framework to characterize and forecast epidemics // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 3044.We describe in detail the methodology and application of three phenomenological growth models, the generalizedgrowth model, generalized logistic growth model and the Richards model in context of the COVID19 epidemic in Pakistan. Taylor S.J.E., Anagnostou A., Abubakar N.T., Kiss T., DesLauriers J., Terstyanszky G., Kacsuk P., Kovacs J., Petry J., Kite S., Pattison G. Innovations in simulation: experiences with cloudbased simulation experimentation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 31643175. Pedestrian behavior at intersections: a literature review of models and simulation recommendations // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 11941205.This study specifically investigates various modeling studies on pedestrian behavior at intersections. Insights are provided regarding the inputs, algorithms, and application scenarios. Also, this study identifies limitations in the existing traffic simulation tools involving pedestrians and provides recommendations for addressing these issues in future research. Tomasiello D B., Giannotti M., Feitosa F.F. (2020). ACCESS: An agentbased model to explore job accessibility inequalities //Computers, Environment and Urban Systems, 81, 101462. Tordecilla R.D., Panadero J., Juan A.A., QuinteroAraujo C.L., MontoyaTorres J.R. A simheuristic algorithm for the location routing problem with facility sizing decisions and stochastic demands // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 12651275.Tosselli L., Bogado V., Martínez E. (2020). A repeatednegotiation game approach to distributed (re) scheduling of multiple projects using decoupled learning // Simulation Modelling Practice and Theory, 98, 101980. Trabes G.G., Costa V.G., Wainer G.A. Energy efficiency evaluation of parallel execution of DEVS models in multicore architectures // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 21732183.In this work, we show an energy efficiency evaluation of the execution of discrete event system specification simulations on a sharedmemory multicore architecture. The results presented show that executing in parallel can improve energy efficiency in these architectures. Trott M., Viebahn C., Landwehr M.A. Towards a more sustainable future? simulating the environmental impact of online and offline grocery supply chains // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 12181229.Turgut Y., Bozdag C.E. Deep Qnetwork model for dynamic job shop scheduling problem based on discrete event simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 15511559.In this work deep Qnetwork model is applied to train an agent to learn how to schedule the jobs dynamically by minimizing the delay time of jobs. Utomo D.S., Gripton A., Greening P. Long haul logistics using electric trailers by incorporating an energy consumption metamodel into agentbased model // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 147158.This paper presents the preliminary result of an agentbased modeling study that analyzes an electrification strategy for the UK’s long haul logistics operations. Vahdat K., Shashaani S. Simulation optimization based feature selection, a study on datadriven optimization with input uncertainty // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 21492160.Van_der_Valk H., Hunker J., Rabe M., Otto B. Digital twins in simulative applications: a taxonomy // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 26952706.VanDeusen A., Liao C.Y., Venkat A., Cohn A., Kurlander J., Saini S. Evaluating patient triage strategies for nonemergency outpatient procedures under reduced capacity due to the Covid19 pandemic // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA.In this case study, we use colonoscopy as a demonstrative example of a nonemergency appointment. A colonoscopy is an outpatient gastroenterology procedure used to screen patients for colon cancer. VanDeusen A., Zacharek N., Springer E., Venkat A., Cohn A., Adams M., Kurlander J., Saini A. Discreteevent simulation with consideration for patient preference when scheduling specialty telehealth appointments // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 888899.van Doren D. (2020). Enabling Innovation Within Public Research Institutes: A Modelling Approach // In Advances in Social Simulation (pp. 441449). Springer, Cham. Van_Heeswijk W., La_Poutre H. Deep reinforcement learning in linear discrete action spaces // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 10631074.van Steenbergen R., Mes M. A simulation framework for UAVaided humanitarian logistics // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 13721383.This paper presents a generic simulation framework for the evaluation of humanitarian logistics, which can easily be tailored to a specific disaster scenario. Van Tendeloo Y., Paredis R., Vangheluwe H. An introduction to modular modeling and simulation with PythonPDEVS and the buildingblock library PythonPDEVSBBL // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 11521166.This tutorial introduces the Classic Discrete Event System Specification (DEVS) formalism in a bottomup fashion, using a simple traffic light example. van Weerden J.F., Verbrugge R., Hemelrijk C.K. (2020). Modelling nonattentional visual information transmission in groups under predation // Ecological Modelling, 431, 109073. Wagle S., Paranjape A.A. Use of simulationaided reinforcement learning for optimal scheduling of operations in industrial plants // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 572583.In this paper, we present an algorithm based on reinforcement learning for scheduling the operations of an industrial plant which is modeled as a network of machines on a directed acyclic graph. The algorithm is assumed to have access to a highfidelity simulator of the plant, but not a mathematical model. Wagner G. Business process modeling and simulation with DPMN: resourceconstrained activities // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 4559.This tutorial article, which is extracted from (Wagner 2019), shows how to use UML class diagrams and Discrete Event Process Modeling Notation (DPMN) process diagrams for making simulation models of business processes with resourceconstrained activities based on the DES paradigm of object event modeling and simulation. Wagner M., Cornet H., Eckhoff D., Andelfinger P., Cai W., Knoll A. Evaluation of guidance systems at dynamic public transport hubs using crowd simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 123134.In this work we are investigating the use of agentbased crowd simulation to evaluate how different passenger guidance systems affect agent navigation in a public transport hub. We study the effects of different digital signage placement strategies in terms of crowding and walking times and also analyse how the introduction of mobile phone guidance systems affects these. Wang A., Chan E.H. (2020). The impact of powergeometry in participatory planning on urban greening // Urban Forestry & Urban Greening, 48, 126571. Wang A., Wang H., Chan E. (2020). The incompatibility in urban green space provision: An agentbased comparative study // Journal of Cleaner Production, 120007. Wang K., Xie W., Wang B., Pei J., Wu W., Baker M., Zhou Q. Simulationbased digital twin development for blockchain enabled endtoend industrial hemp supply chain risk management // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 32003211.In this paper, we propose blockchainenabled Industrial Hemp Supply Chain and develop a preliminary simulationbased digital twin for this distributed cyberphysical system to support the process learning and risk management. Wang R., Jaiswal P., Honnappa H. Estimating stochastic poisson intensities using deep latent models // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 596607.We develop a novel simulation method, using deep neural networks to approximate the path measures induced by the stochastic intensity process, for solving this nonlinear filtering problem. Wang S., Ng S.H. Partitionbased Bayesian optimization for stochastic simulations // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 28322843.This work proposes a new partitionbased Bayesian optimization algorithm where the acquisition function is optimized over a representative set of finite points in each partition instead of the whole design space to reduce the computational complexity. Additionally, to overcome overexploitation, the algorithm considers regions of different sizes simultaneously in each iteration, providing focus on exploration in larger regions especially at the start of the algorithm. Numerical experiments show that these features help in faster convergence to the optimal point. Wang X., Rhee C.H. Rareevent simulation for multiple jump events in heavytailed Levy processes with infinite activities // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 409420.We propose a strongly efficient importance sampling algorithm that builds upon the sample path large deviations for heavytailed Levy processes, stickbreaking approximation of extrema of Levy processes, and the randomized debiasing Monte Carlo scheme. Wang Y., Li X., Zhang F., Wang W., Xiao R. (2020). Effects of rapid urbanization on ecological functional vulnerability of the land system in Wuhan, China: A flow and stock perspective // Journal of Cleaner Production, 248, 119284. Wang Y., Tang P., Shi Y., Liu Y., Cooke N.J. Predicting terminal midair collisions through simulator experiments of air traffic control // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 25362548.Wang Z., Agrawal A., Carson I., Liu L., Pennathur H., Saab H., Cohn A., MorenoHernandez A., Gurm H. Incorporating patient deterioration when simulating utilization of a cardiovascular intensive care unit // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 876887.We present a discreteevent simulation model to assess how bounce back will impact assessment of bed capacity in the cardiac intensive care unit and step down and other major metrics of the system. We present analyses utilizing data from our collaborators at the Samuel and Jean Frankel Cardiovascular Center at Michigan Medicine. Werling J., Yugma C., Soukhal A., Mohr T. An agentbased simulation model with human resource integration for semiconductor manufacturing facility // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 18011812.This paper presents an agentbased simulation modeling of a real workshop of a semiconductor factory. One of the main characteristics of the factory is the strong involvement of human resources in production operations. The purpose is to build a simulation tool to help decisionmakers anticipate production issues. White K.P., Ingalls R.G. The basics of simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 10871101.Simulation is experimentation with a model. The behavior of the model imitates some salient aspect of the behavior of the system under study and the user experiments with the model to infer this behavior. This general framework has proven a powerful adjunct to learning, problem solving, design, and control. In this tutorial, we focus principally on discreteevent simulation – its underlying concepts, structure, and application. Wilensky U.J. (2020) New Developments in Restructuration Theory and Understanding Complex Systems Through AgentBased Restructurations // AERA Annual Meeting San Francisco, CA http://tinyurl.com/rvb86xr (Conference Canceled). Winterrose M.L., Carter K.M., Wagner N., & Streilein W.W. (2020). Adaptive attacker strategy development against moving target cyber defenses // In Advances in Cyber Security Analytics and Decision Systems (pp. 114). Springer, Cham. Woerrlein B., Strassburger S. A method for predicting highresolution time series using sequencetosequence models // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 10751086.This paper suggests a specific hybrid system model incorporating a deep learning method for predicting the anticipated power usage of machining jobs. Woo J.H., Cho Y.I., Yu S.H., Nam S.H., Zhu H., Kwak D.H., Nam J.H. Machine learning (reinforcement learning)based steel stock yard planning algorithm // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 15601571.In this study, a study was conducted to determine the order of steel input into steel stock yard using reinforcement learning algorithm. Effective algorithm can be identified through tests, and it was validated that proposed method is effective for problems of actual size steel stock yard. Woulfe J., Andersson M. Product supportability through life cycle modeling and simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 20492059.The paper discusses critical decision points in different phases of the system’s life cycle and suggests an approach to use modelling and simulation tools to answer key questions and provide the required decision support. Wozniak M. (2020). Virtualising Space–New Directions for Applications of AgentBased Modelling in Spatial Economics // Acta Universitatis Lodziensis. Folia Oeconomica, 1(346), p. 726. Xia H., Li L., Cheng X., Liu C., Qiu T. (2020). A dynamic virus propagation model based on social attributes in city IoTs // IEEE Internet of Things Journal. Xie G., Chen X. Uniform error bounds for stochastic kriging // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 361372.In this paper, we propose an approach to construct uniform error bounds (or confidence intervals) for stochastic kriging with a prescribed confidence level. Joint resource allocation for input data collection and simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 21262137.We propose a general framework to analyze the joint resource allocation problem for collecting input data and generating simulation replications. Xuereb M., Ng S.H., Pedrielli G. Stochastic Gaussian Process model averaging for highdimensional inputs // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 373384.In this paper, we focus on Gaussian Processes, a family of nonparametric approaches used in machine learning and Bayesian Optimization. Yale C.L.P., Frazao M.L.S., de Mesquita M.A., Yoshizaki H.T.Y. Simulation applications in humanitarian logistics: a systematic literature review // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 25892600.Humanitarian logistics involve planning, acting and controlling situations in which vulnerable people are involved. Simulation techniques can successfully represent the dynamics of disasters, characterized by situations of complexity and uncertainties. This work aims to review papers that apply simulation techniques to solve problems that arise in disaster situations. Yamada H., Yamane S., Ohori K., Kato T., Takahashi S. A method for microdynamics analysis based on causal structure of agentbased simulation // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 313324.In this paper, we propose a method to extract causes that include at least one feature from the “attribute,” “perception,” and “action” variables of model parameters and logs. Yang Q., Sun Y., Liu X., Wang J. (2020). MASBased Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China // Sustainability, 12(2), 546. Yao X., Sun H., Fan B. (2020). A novel simulation framework for crowd codecisions // International Journal of Crowd Science. Yavuz A., Darville J., Celik N., Xu J., Chen C.H., Langhals B., Engle R. Advancing selfhealing capabilities in interconnected microgrids via dynamic data driven applications system with relational database management // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 20302041.In this study, we present a dynamic data driven application system framework that integrates a relational database management system to advance selfhealing capabilities among interconnected microgrids. Yıldız B., Çagdaş G. (2020). Fuzzy logic in agentbased modeling of user movement in urban space: Definition and application to a case study of a square // Building and Environment, 169, 106597. Yue T., Long R., Chen H., Liu J., Liu H., Gu Y. (2020). Energysaving behavior of urban residents in China: A multiagent simulation // Journal of Cleaner Production, 252, 119623. Yust A.E., & Smyth D.S. (2020). Simulating Bacterial Growth, Competition, and Resistance with AgentBased Models and Laboratory Experiments // In An Introduction to Undergraduate Research in Computational and Mathematical Biology (pp. 217271). Birkhauser, Cham. Yun T.S., Moon I.C., Kim Y.C., Jin K.S. Agentbased modeling and simulation on residential population movement patterns: the case of sejong city // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 620631.Our research goal is composing an agentbased simulation that models the behavioral and movement patterns of the urban population with a realworld city, Sejong in South Korea. Zarrabi A.H., Azarbayjani M., Tavakoli M. (2020) Generative Design Tool: Integrated Approach toward Development of Piezoelectric Façade System. Zeiml S., Seiler U., Altendorfer K., Felberbauer T. Simulation evaluation of automated forecast error correction based on mean percentage error // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 1572178.A suppliercustomer relationship is studied in this paper, where the customer provides demand forecasts that are updated on a rolling horizon basis. The forecasts show systematic and unsystematic errors related to periods before delivery. The paper presents a decision model to decide whether a recently presented forecast correction model should be applied or not. Zhang F., Wu S., Song Z. Crowd evacuation during slashing terrorist attack: a multiagent simulation approach // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 206217.We built agentbased model of terrorist and civilian and explored the process of evacuation during slashing attack. We formalized the attack process of terrorist using a finite state machine, and analyzed the characteristics of sharp weapons. Zhang G., Li H., Peng Y. Sequential sampling for a ranking and selection problem with exponential sampling distributions // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 29842995.We study a ranking and selection problem with exponential sampling distributions. Under a Bayesian framework, we derive the posterior distribution of the performance parameter, and provide a normal approximation for the posterior distribution based on a central limit theorem to efficiently learn about the performance parameter. Zhang R., Tielbörger K. (2020). Densitydependence tips the change of plant–plant interactions under environmental stress // Nature Communications, 11(1), 19. Zhang H., Zheng Z. Simulating nonstationary spatiotemporal Poisson processes using the inversion method // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 492503.We study the problem of simulating a class of nonstationary spatiotemporal Poisson processes. The Poisson intensity function is nonstationary and piecewise linear in both the time dimension and the spatial location dimensions. We propose an exact simulation algorithm based on the inversion method. Zhang Z., Kress M.E., Schafer T. A Lattice Boltzmann advection diffusion model for ocean oil spill surface transport prediction // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 680691.Zhao J., Bai A., Xi X., Huang Y., Wang S. (2020). Impacts of malicious attacks on robustness of knowledge networks: a multiagentbased simulation // Journal of Knowledge Management. Zheng H., Xie W., Feng M.B. Green simulation assisted reinforcement learning with model risk for biomanufacturing learning and control // Proceedings of the 2020 Winter Simulation Conference K.H. Bae, B. Feng, S. Kim, S. LazarovaMolnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. December 1316, 2020. Orlando, Florida, USA. P. 337348.Zoricak M., Horvath D., Gazda V., Hudec O. (2020). Spatial evolution of industries modelled by cellular automata // Journal of Business Research. Zou J., Wang K., Sun H. (2020). An implementation architecture for crowd network simulations // International Journal of Crowd Science. Zukri N.H.A., Rashid N.A.M., Awang N., Zulkifli Z.A. (2020). AgentBased Encryption for Password Management Application // In Charting the Sustainable Future of ASEAN in Science and Technology (pp. 529541). Springer, Singapore. Zvereva O.M. (2020). Investigation of Money Turnover in the Computer AgentBased Model // In Advances in Information Technologies, Telecommunication, and Radioelectronics (pp. 95105). Springer, Cham.

