Oleghe O., Salonitis K. Application of hybrid simulation modelling for the implementation of job rotation in a feedmill // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1394-1405.
This paper promotes a unique system dynamics-discrete event simulation hybrid modelling framework.

Onggo B.S., Mustafee N., Smart A., Juan A.A., Molloy O. Symbiotic simulation system: hybrid systems model meets big data analytics // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1358-1369.
This paper reviews the components of a symbiotic simulation system from the perspective of hybrid systems modeling and highlights research questions needed to advance symbiotic simulation study.

Ornelas N.O. (2018). An Ecosystem: Computational Thinking, Project-Based Learning & Logo.

Padilla J.J., Diallo S.Y., Garcia H.M. From analogue to digital: creating simulations through conceptualization boards // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.596-604.
We explore how to use conceptualization boards to familiarize students, teachers, parents, and the community in general with discrete-event simulations.

Panadero J., Juan A.A., Mozos J.M. Corlu C.G., Onggo B.S. Agent-based simheuristics: extending simulation-optimization algorithms via distributed and parallel computing // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.869-880.
This paper presents a novel agent-based simheuristic approach that combines simheuristic and multi-agent system to efficiently solve stochastic combinatorial optimization problems.

Peng Y., Li Q.X., Bao H.J. (2018). Conflict Analysis of Concentrated Rural Settlement Development During Post-disaster Reconstruction in China: A Multi-agent Simulation. In Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate (pp. 491-502). Springer, Singapore.

Pereira W.I., Chwif L. Generic bus route simulation model and its application to a new bus network development for Caieiras city, Brazil // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.123-134.
The present work proposes a generic simulation model for radial networks in order to take into account data which is normally available at buses networks and, then, apply this model to the case of Caieiras city bus network redesign.

Pereira T.F., Pugliese L.F., Montevechi J.A.B., de Oliveira M.L.M., Robinson S., Banerjee A. Methodology for the management of discrete event simulation projects based on PMBOK: action research in a high-tech company // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.4002-4013.

Pierce M.E., Krumme U., Uhrmacher A.M. Building simulation models of complex ecological systems by successive composition and reusing simulation experiments // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2363-2374.
We propose to ensure the semantic validity of the fused models by carefully interlinking composition and validation steps exploiting earlier simulation experiments.

Pisaniello A., da Silva W.B., Chwif L., Pereira W.I. Discrete event simulation of appointments handling at a children’s hospital call center: lessons learned from V&V process // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3861-3872.
The aim of this paper is to demonstrate practical problems and benefits while applying Validation and Verification techniques, even if takes a lot of project time, as an indispensable step in guiding the modeler to solving any missed issue.

PlaAragones L.M., PagesBernaus A., Fraile-Sauce L., Abella-Falco G. Use of simulation to estimate economic performances of two phenotypes of sows // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2354-2362.

Polater A. (2018). Managing airports in non-aviation related disasters: A systematic literature review. International Journal of Disaster Risk Reduction, 31, pp.367-380.

Ponziani F., Tinaburri A., Ricci V. (2018). A Multi Agent Approach To Analyse Shift In People Behaviour Under Critical Conditions. International Journal of Safety and Security Engineering, 8(1), 1-9.

Pour F.S.A., Tatar U., Gheorghe A. (2018, April). Agent-based model of sand supply governance employing blockchain technology. In Proceedings of the Annual Simulation Symposium (p. 14). Society for Computer Simulation International.

Quraishi M. H., Hessam S.S., Gholami S. CO-simulation of hardware RTL and software system using FMI // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.572-583.
This study details a modular development of hardware and software models executing on disparate environments instead of employing a monolithic modeling method supported with a monolithic simulation engine.

Rabe M., Ammouriova M., Schmitt D. Improving the performance of a logistics assistance system for materials trading networks by grouping similar actions // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2861-2872.
In this paper, the authors describe a novel concept for reducing the number of actions by grouping similar actions together, leading to faster convergence and shorter response time of the logistics assistance system.

Rabe M., Ammouriova M., Schmitt D. Utilizing domain-specific information for the optimization of logistics networks // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2873-2884.
In this paper, the authors present an approach for utilizing domain-specific information to guide the search for promising actions and, therefore, reduce the logistics assistance systems response time.

Rabe M., Klueter A., Wuttke A. Evaluating the consolidation of distribution flows using a discrete event supply chain simulation tool: application to a case study in Greece // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2815-2826.
The aim of this paper is to evaluate possible business opportunities for collaborative freight operation via discrete event simulation.

Raimbault J. (2018, May). An Urban Morphogenesis Model Capturing Interactions between Networks and Territories.

Ramírez-Ávila G.M., Kurths J., Deneubourg J.L. (2018). Fireflies: a paradigm in synchronization. In Chaotic, Fractional, and Complex Dynamics: New Insights and Perspectives (pp. 35-64). Springer, Cham.

Rashid K.I., Nan D., Tahir M., Ahmed A. (April 2018). An Adaptive Cruise Control Model based on PDLCA for Efficient Lane Selection and Collision Avoidance. International Journal of Advanced Computer Science and Applications, Vol.9, No.4, 2018. Pp.41-49.

Rashwan W., Fowler J., Arisha A. A multi-method scheduling framework for medical staff // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1464-1475.

Rechowicz K.J., Diallo S.Y., Ball D’An K., Solomon J. Designing modeling and simulation user experiences: an empirical study using virtual art creation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.135-146.
This paper focuses on the exploration of key factors contributing to designing M&S user experiences as an approach to mitigate existing thresholds and establish M&S as a means to improving people’s lives.

Redko V.G., Sokhova Z.B. Model of collective behavior of investors and producers in decentralized economic system // Procedia Computer Science. 2018. V. 123. PP. 380-385.

Renoux J., Klugl F. Simulating daily activities in a smart home for data generation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.798-809.
We present concepts and solutions for generating high-quality data using a flexible agent-based simulation tool.

Richardson D.B., Cohn A.E.M. Modeling the impact of make-ahead chemotherapy drug policies through discrete-event simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2690-2700.
We present a discrete-event simulation model to predict the effectiveness of various make-ahead drug policies utilizing data from our collaborators at the University of Michigan Rogel Cancer Center.

Rodriguez A.R. Optimal enterprise results in the clinical research environment // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.80-87.

Rosales C., Whipple J.M., Blackhurst J. (2018). The Impact of Out-of-Stocks and Supply Chain Design on Manufacturers: Insights from an Agent-Based Model. Transportation Journal, 57(2), P. 137-162.

a href="http://simulation.su/uploads/files/default/2018-rossetti-bright.pdf" target="_blank">Rossetti M.D., Bright J. Bulk petroleum supply chain simulation modeling // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3060-3071.
This paper describes the simulation modeling of bulk petroleum supply chains through an object-oriented simulation library.

Rossetti G., Milli L., Rinzivillo S., Sirbu A., Pedreschi D., Giannotti F. (2018). NDlib: a python library to model and analyze diffusion processes over complex networks. International Journal of Data Science and Analytics, 5(1), pp.61-79.

Ruscheinski A., Budde K., Warnke T., Wilsdorf P., Hiller B.C., Dombrowsky M., Uhrmacher A.M. Generating simulation experiments based on model documentations and templates // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.715-726.
Based on a template-based approach and documentations, we show how simulation experiment specifications can be generated and executed for experiments, such as statistical model checking and sensitivity analysis, and we identify crucial challenges.

Sabzian Hossein; Shafia Mohammad Ali; Bonyadi Naeini Ali; Jandaghi Gholam Reza; Sheikh Mohammad Javad (2018). A review of agent-based modeling (ABM) Concepts and some of its main applications in management science // Iranian Journal of Management Studies. 11 (4): 659–692. doi:10.22059/IJMS.2018.261178.673190.

Salimi K., Frydenlund E., Padilla J.J., Haaland H., Wallevik H. How does humanitarianism spread? Modeling the origins of citizen initiatives through norm diffusion // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.33-44.
This paper describes a prototype agent-based model used to explain why and how a norm of humanitarianism diffuses through a population.

Sanchez S.M. Data farming: better data, not just big data // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.425-439.

Sanchez S.M., Sanchez P.J., Wan H. Work smarter, not harder: a tutorial on designing and conducting simulation experiments // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.237-251.
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. This tutorial will prepare you to make your next simulation study a simulation experiment.

Santi L., Castro R. A co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1322-1333.

Santos V.F., Yacoub M.D., Ursini E.L., Martins P.S. A management tool based on discrete event simulation for humanitarian support // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.45-56.

Santos F., Nunes I., Bazzan A.L. (2018). Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. Simulation Modelling Practice and Theory, 83, pp.162-187.

Sarkar S., Agrawal A., Teo Y.M., Chang E.-C. VOTNet: hybrid simulation of virtual operational technology network for cybersecurity assessment // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1168-1179.
In this paper, we propose a simulation model of a virtual operational technology network in power system automation for cybersecurity assessment.

Saroj A., Roy S., Guin A., Hunter M., Fujimoto R. Smart city real-time data-driven transportation simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.857-868.

Scherer R.J., Luu N.T., Katranuschkov P., Spieckermann S., Habenicht I., Protopsaltis B., Pappou T. Towards a multimodel approach for simulation of crowd behaviour under fire and toxic gas expansion in buildings // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3965-3976.

Scheidegger A.P.G., Pereira T.F., Banerjee A. Uncertainty quantification in simulation models: a proposed framework and application through case study // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1599-1610.

Schumann A., Kuznetsov A.V. Foundations of mathematics under neuroscience conditions of lateral inhibition and lateral activation // International Journal of Parallel, Emergent and Distributed Systems. 2018. Vol. 33, no. 3. Pp. 237–256. URL: https://doi.org/10.1080/17445760.2018.1439490.

Seidel G., Preuss P., Naumann A., Low S.L., Chan C.W., Gan B.P. Operator resource modelling in a multiple wafer sizes fabrication environment using discrete event simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3825-3836.
In this paper, we discuss the modelling approach that we have taken to represent this dynamic feature, where resources are adjusted in simulation based on WIP situation.

Serrano-Hernandez A., Faulin J., Hirsch P., Fikar C. Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition // Simulation Modelling Practice and Theory. 2018. V. 85. P. 47–59.

Shao G., Kibira D. Digital manufacturing: requirements and challenges for implementing digital surrogates // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 1226-1237.
In this paper, we define digital surrogate, explore their relationships to simulation, digital thread, artificial intelligence, and IoT.

Shelest M. Simulation model of information system with high data integrity requirements // Bulletin of the UNESCO department «Distance education in engineering» of the SUAI: Collection of the papers. St. Petersburg, Issue 2. SPb.: SUAI. 2018. Pp. 85-91.

Shen W., Achar R., Lopes C.V. Toward understanding the impact of user participation in autonomous ridesharing systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.845-856.

Shih Y.-M., Gordon C., Fukuda M., van de Ven J., Freksa C. Translation of string-and-pin-based shortest path construction into data-scalable agent-based computational models // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.881-892.
This paper presents these agent-based models implementations and performance measurements over a cluster system.

Shim J., Bliemel M. (2017). Ignition of new product diffusion in entrepreneurship: An agent-based approach. Entrepreneurship Research Journal.

Shirzaei S., Smith J.S. Resource scheudling in non-stationary service systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.537-547.

Shojaei E., Luque E., Rexachs D., Wong A., Epelde F. Evaluation of lifestyle effects on chronic disease management // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1037-1048.
In this study, we propose a model that helps to analyze the behavior of chronic disease patients with a focus on heart failure patients based on their lifestyle.

Shults F.L., Wildman W.J., Dignum V. The ethics of computer modeling and simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.4069-4083.
This paper describes a framework for ethical analysis of the practice of computer Modeling & Simulation (M&S). The paper concludes with a summary of guidelines for using this ethical framework when preparing, executing, and analyzing M&S activities.

Simpkins C.E., Dennis T.E., Etherington T.R., Perry G.L. (2018). Assessing the performance of common landscape connectivity metrics using a virtual ecologist approach. Ecological Modelling, 367, pp.13-23.

Singh P., Hellander A. Hyperparameter optimization for approximate Bayesian computation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1706-1717.
This work explores automated hyperparameter optimization for approximate Bayesian computation using Bayesian optimization as an alternative to time consuming manual selection.

Sinoviev V.V., Starodubov A.N., Nikolaev P.I., Kuznetsov I.S., Kravtsov V.P. Simulation system for optimizing technical and organizational variants in coalmining production // Advances in Engineering Research. 2018. Vol. 157. pp. 579-583.

Snitker G. (2018). Identifying natural and anthropogenic drivers of prehistoric fire regimes through simulated charcoal records. Journal of Archaeological Science, 95, pp.1-15.

Soheilypour M., Mofrad M. Agent‐based modeling in molecular systems biology // BioEssays: news and reviews in molecular, cellular and developmental biology. 2018. doi: 10.1002/bies.201800020.

Songhori M.J., Garcia-Diaz C. Collective problem-solving in evolving networks: an agent-based model // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.965-976.
This paper illustrates how groups collectively search for solutions in a space under the presence of dynamic structures and individual-level learning.

Sopin E., Ageev K., Shorgin S. Simulation of the limited resources queuing system for performance analysis of wireless networks // In: 32st European Conference on Modelling and Simulation, ECMS 2018, Wilhelmshaven, Germany, ay 22-25, 2018, Proceedings; 2018: pp. 505-509. ECMS proceedings.

Stoldt J., Prell B., Schlegel A., Putz M. Applications for models of renewable energy sources and energy storages in material flow simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3287-3298.
This paper presents an application example for a Siemens Plant Simulation extension that makes holistic material flow and energy flow studies of factories possible.

Sturley C., Newing A., Heppenstall A. (2018). Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours. The Internatinal Review of Retail, Distribution and Consumer Research, 28(1), pp.27-46.

Sturrock D.T. Avoid failures! tested success tips for simulation project excellence // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.252-260.
This paper discusses many aspects of modeling that are often missed by new and aspiring simulationists.

Suhaimi N., Vahdat V., Griffin J. Building a flexible simulation model for modeling multiple outpatient orthopedic clinics // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2612-2623.

Swan B., Shevlin C., Cho A., Phinney D. Simulation tool to evaluate electronic consultations in rheumatology // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2589-2599.
A discrete-event simulation was built to estimate the impact e-consults have on Rheumatology clinics at Duke Health; specifically considering lead time, queue length, and specialists’ workload.

Szabo C., Craggs D., Johnson W., Judd G., French K. A simulation testbed for the analysis of desired emergent properties in systems running in dynamic and contested environments // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1049-1060.

Tackenberg S., Duckwitz S. Actor-oriented optimization model for maintenance tasks // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3941-3952.
This paper introduces an extension of the well-established resource-constrained project scheduling problem to apply it to maintenance problems of highly frequented infrastructure.

Tako A.A., Kotiadis K. Participative simulation (PartiSim): a facilitated simulation approach for stakeholder engagement // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.192-206.
This tutorial introduces PartiSim by describing the PartiSim framework and tools, some applications and example tools, a roadmap to adopting it and concludes with some tips for potential users.

Taylor S.J.E., Anagnostou A., Monks T., Currie C., Onggo B.S., Kunc M., Robinson S. Applying the stress guidelines for reproducibility in modeling & simulation: application to a disease modeling case study // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.739-748.

Taylor S.J.E., Eldabi T., Monks T., Rabe M., Uhrmacher A.M. Crisis, what crisis – does reproducibility in modeling & simulation really matter? // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.749-762.

Teixeira B., Pinto T., Silva F. et al. Multi-agent decision support tool to enable interoperability among heterogeneous energy systems // Applied Sciences. 2018. Vol. 8 (3). P. 328-349.

Thakur S., Bhautik P., Sangore V., Singh K. (2017).A Review on Treatment of Sewage Water & Biogas Purification by Algae. Internatinal Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, Page No pp.390-397, January 2018.

Thiriot S. (2018). Word-of-mouth dynamics with information seeking: Information is not (only) epidemics. Physica A: Statistical Mechanics and its Applications, 492, pp.418-430.

Thorve S., Swarup S., Marathe A., Chungbaek Y., Nordberg E.K., Marathe M.V. Simulating residential energy demand in urban and rural areas // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.548-559.
In this paper, we develop an agent-based model using a bottom-up approach to build disaggregated energy demand estimates at the household level at an hourly interval.

Tolk A. The elusiveness of simulation interoperability – what is different from other interoperability domains? // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.679-690.
This paper gives an overview of the current approaches to simulation interoperability, including the standardized approaches as well as contributions of simulation formalism.

Tolujew J., Yatskiv I., Jackson I., Reggelin T. Dynamic model of the passenger flow on Rail Baltica // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3096-3107.
This paper describes the design and application of a model simulating the passenger flows on the highspeed rail line Rail Baltica.

Tribastone M., Vandin A. Speeding up stochastic and deterministic simulation by aggregation: an advanced tutorial // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.336-350.
This paper offers an advanced tutorial on an array of recently developed algorithms that seek to tame the complexity of these models by aggregating their constituting systems of equations, leading to lower-dimensional systems that preserve the original dynamics in some appropriate, formal sense.

Uriarte A.G., Ng A.H.C., Sellgren T., Moris M.U. Introducing simulation and optimization in the lean continuous improvement standards in an automotive company // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3352-3363.
This paper presents a case study where simulation based optimization was employed as a step within a Value Stream Mapping event.

Van der Zee D.-J., Tako A., Robinson S., Fishwick P., Rose O. Panel: education on simulation model simplification – beyond rules of thumb // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3987-4001.
This paper addresses the motivation for the panel, and presents panelists’ “positions” about the way forward for education on simulation model simplification.

Van Mierlo S., Vangheluwe H. Introduction to statecharts modeling, simulation, testing, and deployment // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.306-320.
This tutorial introduces modeling, simulation, and testing with Statecharts. As a running example, the behaviour of a traffic light, a simple timed, autonomous, and reactive system is modeled.

Van Tendeloo Y., Vangheluwe H. Discrete event system specification modeling and simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.162-176.
This tutorial introduces the Classic Discrete Event System Specification formalism in a bottom-up fashion, using a simple traffic light example. The syntax and operational semantics of atomic (i.e., non-hierarchical) models are introduced first. Coupled models are introduced to structure and couple Atomic models.

Venkatramanan S. et al. Using data-driven agent-based models for forecasting emerging infectious diseases // Epidemics. 2018. Vol. 22, no. 1. P. 43-49. DOI: 10.1016/j.epidem.2017.02.010.

Viana J., Dahl F.A., Simonsen T.B., Flo K. A hybrid discrete event agent based overdue pregnancy outpatient clinic simulation model // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1488-1499.
This paper provides an overview of a hybrid, discrete event simulation agent based model, simulation model of the overdue pregnancy outpatient clinic at the Obstetrics department of Akershus University Hospital, Norway.

Vidaković M., Ivanović M., Stantić D., Vidaković J. (2018, June). How Research Achievements Can Influence Delivering of a Course-Siebog Agent Middleware. In KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (pp. 110-120). Springer, Cham.

Wagner G., Nardin L.G. Adding agent concepts to object event modeling and simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.893-904.

Waight N., Abd-El-Khalick F. (2018). Technology, Culture, and Values: Implications for Enactment of Technological Tools in Precollege Science Classrooms. In Cognition, Metacognition, and Culture in STEM Education (pp. 139-165). Springer, Cham.

Wainer G.A., Goldstein R., Khan A. Introduction to the discrete event system specification formalism and its application for modeling and simulating cyber-physical systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.177-191.
In this tutorial, we introduce the core concepts of Discrete Event System Specification. First, we introduce a set of informal requirements from which a formal specification is to be developed. Then, we present different modeling conventions at different levels of abstraction.

Wainer G., Ruiz-Martín C., Castro R. Building partial differential equations models using Cell-DEVS // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1382-1393.
We present a cellular model solution to solve PDEs as an extension of classical numerical methods combined with the Cell-DEVS formalism.

Wang W., Yang S., Hu F., Han Z., Jaeger C. An agent-based modeling for housing prices with bounded rationality //Journal of physics: conference series. IOP Publishing, 2018. Т. 1113. №. 1. С. 012014. DOI 10.1088/1742-6596/1113/1/012014.

Wang Y., Wen S., Farnon Ellwood M.D., Miller A.D., Chu C. (2018). Temporal effects of disturbance on community composition in simulated stage‐structured plant communities. Ecology and evolution, 8(1), pp.120-127.

Wang Z., Zhang H., Hu M., Qiu Q., Liu H. (2018). Analysis of safety characteristics of flight situation in complex low-altitude airspace. Advances in Mechanical Engineering, vol.10(5), 1-15.

Warnke T., Uhrmacher A.M. Complex simulation experiments made easy // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.410-424.
In this tutorial we introduce Simulation Experiment Specification via a Scala Layer, a domain specific language for setting up simulation experiments.

Warren K. Fast and effective living business models with system dynamics: a tutorial on business cases // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.291-305.

Weintrop D., Wilensky U. (2018). How block-based, text-based, and hybrid block/text modalities shape novice programming practices. International Journal of Child-Computer Interaction. https://doi.org/10.1016/j.ijcci.2018.04.005.

Wenzel S., Peter T., Stoldt J., Schlegel A., Uhlig T., Josvai J. Considering energy in the simulation of manufacturing systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3275-3286.
This paper aims to provide a comprehensive introduction to the state of the art in modeling of energy and emissions in simulation of manufacturing systems.

Werner M., Ji W., AbouRizk S. Improving tunneling simulation using Bayesian updating and hidden Markov chains // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3930-3940.
This study proposes a Bayesian-based approach to incorporate real-time project data into simulation-based ground prediction models to improve prediction accuracy.

West T.A., Grogan K.A., Swisher M.E., Caviglia-Harris J.L., Sills E., Harris D., ... & Putz F.E. (2018). A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon. Environmental Modelling & Software, 100, pp.159-174.

White K. P., Ingalls R.G. The basics of simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.147-161.
In this tutorial, we focus principally on discrete-event simulation – its underlying concepts, structure, and application.

Wilkerson M.H., Shareff R., Laina V., Gravel B. (2018). Epistemic gameplay and discovery in computational model-based inquiry activities. Instructional Science, P. 1-26.

Xi J.Y., Chan W.K. Emergency management in China: a survey of system, agent-based modeling, and recommendation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.905-916.
This paper surveys existing literature on emergency management in China and summarizes different evacuation models, in particular, agent-based models and other models.

Yahyaoui F., Tkiouat M. 2017. A multi-level agent-based model of reinsurance. Journal of Applied Economic Sciences, Volume XII, Summer 3(49): P. 746– 752.

Yang W., Xiang Y., Lui J., Gu C. Agent-based modeling for scale evolution of plug-in electric vehicles and charging demand // IEEE Transactions on Power Systems. 2018. Vol. 33, № 2. P. 1915-1925.

Yao S., Hao Y., Liu D., Liu S., Shao H., Wu J., Bamba M., Abdelzaher T., Flamino J., Szymanski B. A predictive self-configuring simulator for online media // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 1262-1273.
This paper describes the design, implementation, and early experiences with a novel agent-based simulator of online media streams, developed under DARPA’s SocialSim Program to extract and predict trends in information dissemination on online media.

Yarbrough B., Wagner N. (2018, April). Assessing security risk for wireless sensor networks under cyber attack. In Proceedings of the Annual Simulation Symposium (p. 1). Society for Computer Simulation International. SpringSim-ANSS, 2018 April 15-18, Baltimore.

Yousefi B., Ajina M., Imran M., Laskey K. A non-parametric approach to simulate panel data // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.515-524.
We propose a methodology to simulate a cyber activity dataset, containing both cross-sectional and temporal correlations, also called Panel dataset.

Yousefi M., Yousefi M., Ferreira R. P.M., Kim J.H., Fogliatto F.S. (2018). Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. Artificial intelligence in medicine.

Yunming W., Si C., Chengsheng, P., Bo C. (2018). Measure of invulnerability for command and control network based on mission link. Information Sciences, 426, P. 148-159.

Zahedi-Hosseini F. Modeling and simulation for the joint maintenance-inventory optimization of production systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.3264-3274.

Zhang M., Matta A., Alfieri A., Pedrielli G. Simulation–based benders cuts: a new cutting approach to approximately solve simulation–optimization problems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2225-2236.
Large solution space is one of the main features of simulation–optimization problems. Reducing the cardinality of the set of alternatives is a key point for increasing the efficiency of simulation–optimization methods. In this work, a new cutting approach is proposed for this purpose.

Zhou E., Liu T. Online quantification of input uncertainty for parametric models // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1587-1598.
In this paper, we propose a computationally efficient method to incorporate online data in real time for input uncertainty quantification of parametric models.

Zia K., Saini D. K., Muhammad A., Ferscha A. (2018). Customer Participation in the Internet of Things: A Bayesian Game Model. IEEE Transactions on Computational Social Systems.

Zoto E., Kowalski S., Lopez-Rojas E.A., Kianpour M. Using a socio-technical systems approach to design and support systems thinking in cyber security education. Pp.123-128.