Статьи 2017 года (P...Z)



Panadero Javier, Calvet Laura, Marques Joan Manuel, Juan Angel A. A simheuristic approach for resource allocation in volunteer computing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1479-1490.
This work presents a mathematical formulation and a solving approach based on a metaheuristic for the resource allocation problem. This approach is designed to deal with data-intensive applications, which must guarantee the availability of the data at all times.

Park M., Liu X., Waight N. (2017). Development of the Connected Chemistry as Formative Assessment Pedagogy for High School Chemistry Teaching. Journal of Chemical Education.

Patoary Mohammad Nazrul Ishlam, Tropper Carl, McDougal Robert, Lytton William W. Optimizations for neuron time warp (NTW) for stochastic reaction-diffusion models of neurons // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1252-1263.
Our research employs a parallel discrete event simulation simulator, Neuron Time Warp (NTW), which is intended for use for the simulation of neurons.

Perelygin Kyrylo, Kim Joseph J. A global and local search approach to quay crane scheduling problem // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1563-1570.
This paper presents a hybrid QCSP (Quay Crane Scheduling Problem) Solver, which combines genetic algorithms for global search with steepest ascent hill climbing for local search. Numerical experiments are performed with small- and large-sized random QCSP instances. The experimental results revealed that the hybrid QCSP Solver provides a better solution than the stand-alone QCSP Solver.

Pérez Eduardo. Integrating mathematical optimization in DEVS for nuclear medicine patient and resource scheduling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 398-407.
In this work, we integrate DEVS and CPLEX, a mathematical programming optimization software, to develop a simulation-optimization scheduling methodology for nuclear medicine clinics.

Plewe D. A., Lee H. (2017). Simulating the Outcomes of Contracts: A Visual Interface Supporting Start-Up Financing. In Advances in Human Factors, Business Management, Training and Education (pp. 823-831). Springer International Publishing.

Pires Bianica, Goldstein Joshua, Higdon Dave, Sabin Paul, Korkmaz Gizem, Shipp Stephanie, Keller Sallie, Ba Shan, Hamall Ken, Koehler Art, Reese Shane. A Bayesian simulation approach for supply chain synchronization // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1571-1582.
In this paper, we develop a data informatics model that could be used to realize a digital synchronized supply chain. To realize this model, we take a hybrid approach that combines Bayesian modeling with discrete event simulation and apply it to the supply chain process of a Procter & Gamble manufacturing and distribution facility.

Primiero G., Raimondi F., Bottone M., Tagliabue J. (2017). Trust and distrust in contradictory information transmission // Applied Network Science, 2(1).

Pumain, D., & Reuillon, R. (2017). An Innovative and Open Toolbox. In Urban Dynamics and Simulation Models. Springer International Publishing.

Putra H.C., Andrews C.J., Senick, J.A. (2017) An agent-based model of building occupant behavior during load shedding // In Building Simulation (pp. 1-15). Tsinghua University Press.

Rai Sanish, Hu Xiaolin. Data assimilation with sensor-informed resampling for building occupancy simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1145-1156.
This paper presents a new sensor-informed resampling method which utilizes sensor data to improve resampling of particles. Experiment results show the new method was able to provide better estimation of the system state with a limited number of particles compared to the standard bootstrap filter.

Railsback S., Ayllan D., Berger U., Grimm V., Lytinen S., Sheppard C., Thiele J. (2017). Improving Execution Speed of Models Implemented in NetLogo // Journal of Artificial Societies and Social Simulation, 20(1), 1-3.

Ramapantulu Lavanya, Teo Yong Meng, Chang Ee-Chien. A conceptural framework to federate testbeds for cybersecurity // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 457-468.

Raschke Gregory K., Nutter Susan K. The importance of the computer simulation archive // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.342-345.
This paper discusses the importance, historical significance, and prestige of the Computer Simulation Archive (https://d.lib.ncsu.edu/computer-simulation/) at North Carolina State University Libraries, including its importance to the field of simulation and its place in the broader context of research library archival collections.

Rasoulkhani Kambiz, Logasa Brianne, Reyes Maria Presa, Mostafavi Ali. Agent-based modeling framework for simulation of complex adaptive mechanisms underlying household water conservation technology adoption // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1109-1120.
The application of the proposed simulation model was demonstrated in a case study of the City of Miami Beach. The simulation results identified the intersectional effects of various factors in household water conservation technology adoption and also investigated the scenario landscape of the adoptions that can inform policy formulation and planning.

Roberts Stephen D., Pegden Dennis. The history of simulation modeling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.308-323.
In this paper we interpret the historical development of simulation modeling. In our view simulation modeling is that part of the simulation problem-solving process that focuses on the development of the model. It is the interpretation of a real production (or service) problem in terms of a simulation language capable of performing a simulation of that real-world process.

Robinson Stewart. A tutorial on simulation conceptual modeling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 565-579.
In this tutorial, we explore the definition, requirements and approach to conceptual modeling.

Ruscheinski Andreas, Uhrmacher Adelinde. Provenance in modeling and simulation studies – bridging gaps // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 872-883.

Saft D., Nissen V. (2017). A Toolbox to Analyze Emergence in Multiagent Simulations // In Multi-agent Systems. InTech.

Sarjoughian Hessam S. Restraining complexity and scale traits for component-based simulation models // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 675-689.

Sargent Robert G. A perspective on fifty-five years of the evolution of scientific respect for simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.3-15.
This paper gives a personal perspective on the evolution of discrete-event simulation – concentrating on how it moved from having an image from the 1950s through the 1980s of being a “brute force programming effort” and as a problem-solving “method of last resort” to today’s status where simulation enjoys “considerable scientific respect.”

Sargent Robert G. History of the Winter Simulation Conference: coming-of-age period (1983–1992) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.82-86.
This paper presents the history of the Winter Simulation Conference (WSC) for the time period covering 1983–1992. This was a healthy era of growth for WSC as conference attendance was strong, exhibits were added, proceedings became hardback, program tracks were added, the Ph.D. Colloquium was initiated, and the Twenty-Fifth Anniversary of WSC was celebrated in 1992. This article discusses all of the accomplishments for this “Coming-of-Age Period”.

Sargent Robert G., Balci Osman. History of verification and validation of simulation models // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.292-307.
This paper gives the history of verification and validation of discrete-event simulation models as seen through the eyes of its authors and their experiences. The history is divided into three time periods: the early era covering years up to 1970, the awareness era covering the years of the 1970s and 1980s, and the modern era covering the years of 1990 to the present.

Sargent Robert G., Roth Paul F., Schriber Thomas J. History of the Winter Simulation Conference: renaissance period (1975 – 1982) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.50-59.
This paper discusses the history of the Winter Simulation Conference (WSC) during the period 1975–1982. This includes the collapse of the WSC in 1975, the rebirth of WSC in 1976, and the subsequent annual conferences and other significant WSC events for the period of 1976 through 1982. This was a period of great change for the WSC, with an emphasis on developing procedures to insure the long-term continuity and success of the conference.

Sargent Robert G., Wilson James R. Creation of the computer simulation archive // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.324-329.
This paper discusses the founding of the Computer Simulation Archive at the North Carolina State University Libraries, obtaining the initial contributions to the archive, establishing endowments to support the archive, and forming the Archive Advisory Committee.

Sayed Khaled, Kuo Yu-Hsin, Kulkarni Anuva, Miskov-Zivanov Natasa. DiSH simulator: capturing dynamics of cellular signaling with heterogeneous knowledge // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 896-907.
In this paper, we present DiSH, a simulator for large discrete models of biological signal transduction path-ways, capable of simulating networks with multi-valued elements in both deterministic and stochastic man-ner. The simulator incorporates the timing of molecular reactions, which are often not synchronized and occur in random order, and it also takes into account the difference between slow and fast reactions.

Scheifele Stefan, Riedel Oliver, Pritschow Gunter. Engineering of machine tools and manufacturing systems using cyber-physical systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1503-1514.
This paper will present how mechatronic engineering can be developed into an engineering using cyber-physical systems. It will also present how engineering of machine tools and manufacturing systems will change in the future und which concepts can be realized.

Schriber Thomas J., Brunner Daniel T., Smith Jeffrey S. Inside discrete-event simulation software: how it works and why it matters // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 735-749.
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and their management. The implementations of these generic ideas in AutoMod, SLX, ExtendSim, and Simio are described. The paper concludes with several examples of “why it matters” for modelers to know how their simulation software works, including discussion of AutoMod, SLX, ExtendSim, Simio, Arena, ProModel, and GPSS/H.

Schriber Thomas J., Reitman Julian, Ockene Arnold, Hixson Harold G. History of the Winter Simulation Conference: origins and early YEARS (1967-1974) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.40-49.
This paper discusses the Origins and Early Years (1967-1974) of the Winter Simulation Conferences. Summary information is given for each of the conferences in that interval, with expanded discussion included for the 1967, 1968, and 1969 formative conferences.

Singham Dashi I., Cai Wenbo. Sample average approximations for the continuous type principal-agent problem: an example // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2010-2020.
This paper introduces a sample average approximation to the continuous distribution problem using methods for solving the discrete distribution problem. We explore using numerical results an example motivated by carbon capture and storage systems.

Smith Katherine, Shull John, Shen Yuzhong, Dean Anthony, Michaeli Jennifer. Overcoming challenges in educational stem game design and development // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 849-859.
This paper details how challenges were overcome and addressed in Captivate with examples, namely display and manipulation of complex expressions and the complexity and length of problems.

a href="http://simulation.su/uploads/files/default/2017-songhori-jalali-terano.pdf" target="_blank">Songhori Mohsen Jafari, Jalali Mohammad S., Terano Takao. The effects of teams initial characterizations of interactions on product development performance // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1383-1394.

Sprock Timothy, Bock Conrad. Incorporating abstraction methods into system-analysis integration methodology for discrete event logistics systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 966-976.
In this paper, we propose fundamental abstractions for DELS and identify corresponding libraries of analysis models. These are used in a systemanalysis integration methodology that incorporates abstraction as an explicit step, providing a path to refine and extend those abstractions and model libraries to generate analysis models.

Suescún C.G.P., Aragón C.J.E., Gómez M.A.J., Moreno R.J. (2017, September). Obstacle Evasion Algorithm for Clustering Tasks with Mobile Robot // In Workshop on Engineering Applications (pp. 84-95). Springer, Cham.

Suleimenova Diana, Bell David, Groen Derek. Towards an automated framework for agent-based simulation of refugee movements // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1240-1251.
We present a vision towards establishing an automated framework, aimed to enable researchers to construct simulations of refugee movements more quickly and systematically. Our approach incorporates a diverse range of data sources, and uses the FabSim toolkit in conjunction with the Flee simulation code to quickly generate simulation workflows. In addition, we highlight a few key steps that we have already taken towards realizing this vision and discuss opportunities for wider applicability.

Swanson H., Anton G., Bain C., Horn M., Wilensky U. (2017). Computational Thinking in the Science Classroom // Proceedings of the 1st International Conference on Computational Thinking Education.

Taherian M., Mousavi S.M. (2017). Modeling and simulation of forward osmosis process using agent-based model system // Computers & Chemical Engineering, 100, 104-118.

Tan Wen Jun, Cai Wentong, Zhang Allan NengSheng. Integration design of supply chain hybrid simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 493-504.
This paper proposes a hybrid model of the supply chain (SC) using integration design. It allows the whole SC to be captured at the broad view through system dynamics, and the target firm to be represented using agent-based model.

Tang Lin, He Miao, Zhang Xunan, Ba Yutao, Ren Changrui. A simulation-based quality variance control system for the environment-sensitive process manufacturing industry // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2021-2032.
In this paper, we propose a simulation-based quality variance control system consisted of three core components: an indoor environment calibration module, a quality prediction module and a simulation engine. We then demonstrate the use of this system by analyzing a typical manufacturing process consisted of four sub-processes.

Taylor Simon J. E., Anagnostou Anastasia, Fabiyi Adedeji, Currie Christine, Monks Thomas, Barbera Roberto, Becker Bruce. Open science: approaches and benefits for modeling & simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 535-549.
To introduce Open Science to our field, this paper unpacks Open Science to understand some of its approaches and benefits. Good practice in the reporting of simulation studies is discussed and the Strengthening the Reporting of Empirical Simulation Studies standardized checklist approach is presented.

Teng Huei-Wen. A spherical Monte Carlo approach for calculating value-at-risk and expected shortfall in financial risk management // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 469-480.
The spherical Monte Carlo estimator is the average of function values of some random points generated by lattice. We consider Value-at-Risk and expected shortfall calculation under heavy-tailed distributions and demonstrate the superiority of the proposed method via numerical studies in terms of variance, computation time, and efficiency.

Teran-Somohano Alejandro, Smith Alice E., Yilmaz Levent. Model alignment using optimization and design of experiments // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1288-1299.
In this paper, we present an extension of the model alignment methodology for comparing the outcome of two simulation models that searches the response surface of both models for significant differences. Our approach incorporates elements of both optimization and design of experiments for achieving this goal. We discuss the general framework of our methodology, its feasibility of implementation, as well as some of the obstacles we foresee in its generalized application.

Thomas D., Lin S. (2017). Inquiry-Based Science and Mathematics Using Dynamic Modeling // SCIREA Journal of Mathematics, 2(2).

Timchenko V. Assessment simulation model of losses caused by cargo delivery to the port after term // ProfMarket: Education. Language. Success. 2017. С. 177-178.

Tivnan Brian F., Koehler Matthew T. K., Slater David, Veneman Jason, Tivnan Brendan F. Towards a model of the U.S. stock market: how important is the securities information processor? // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1181-1192.
Both the scientific community and the popular press have paid much attention to the speed of the Securities Information Processor – the data feed consolidating all trades and quotes across the US stock market. Rather than the speed of the Securities Information Processor, or SIP, we focus here on its importance to efficient, price discovery. Via extensions to a previous market model, we experiment with four different coupling mechanisms which operate across the US stock market. Of the four, we find that the SIP contributes most to efficient price discovery.

Toba Ange-Lionel, Seck Mamadou, Amissah Matthew, Bouazzaoui Sarah. An approach for DEVS based modeling of electrical power systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 977-988.
We present a DEVS (Discrete Event System Specification) based framework for modeling a power system for energy planning.

Topcu Okan. Using situational awareness for adaptive decision making in agent-based simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1276-1287.
In this paper, it is aimed to improve decision making by increasing the situational awareness of an agent by incorporating the decision making mechanism with the prior knowledge about the problem domain, such as the existing rules. Specifically, an existing adaptive decision making architecture, which is based on the deliberative coherence theory, is adopted to be driven by situational awareness.

Troitzsch K.G. (2017). Axiomatic Theory and Simulation: A Philosophy of Science Perspective on Schelling's Segregation Model // Journal of Artificial Societies and Social Simulation, 20(1).

Tubadji A., Angelis V., Nijkamp P. (2017). Micro-Cultural Preferences and Macro-Percolaton of New Ideas: Netlogo Simulation. Journal of Knowledge Economy, 1-18.

van der Veen R.A.C., Kisjes K.H., Nikolic I. (2017). Exploring policy impacts for servicising in product-based markets: A generic agent-based model // Journal of Cleaner Production.

Van Tendeloo Yentl, Vangheluwe Hans. Classic devs modelling and simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 644-658.
This tutorial introduces the Classic DEVS formalism in a bottom-up fashion, using a simple traffic light example.

Van Tendeloo Yentl, Vangheluwe Hans. The modelverse: a tool for multi-paradigm modelling and simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 944-955.
This paper delves into each enabler, presenting its relation to Multi-Paradigm Modelling and how it is supported in our prototype tool: the Modelverse. An automotive power window example is used to illustrate the Modelverse’s capabilities. All aspects are explicitly modelled and enacted with a Formalism Transformation Graph + Process Model.

Vazquez-Abad Felisa J., Bernabel Silvano, Fu Michael C. Data-driven adaptive threshold control for bike share systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2033-2044.
In this piece of research, we attempt to find the optimal time to call for the redistribution of bikes to minimize cost and retain maximum membership.

Vila Guilera J. (2017). Analysis and individual-based modelling of the tuberculosis epidemiology in Barcelona. The role of age, gender and origin (Bachelor's thesis, Universitat Politècnica de Catalunya).

Wagh A., Cook-Whitt K., Wilensky U. (2017). Bridging inquiry-based science and constructionism: Exploring the alignment between students tinkering with code of computational models and goals of inquiry // Journal of Research in Science Teaching.

Wagner Gerd. An abstract state machine semantics for discrete event simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 762-773.
We define an operational (transition system) semantics for the two most basic forms of Discrete Event Simulation (DES): event-based simulation (without objects) and object-event simulation. We show that under our operational semantics, DES models correspond to a certain form of abstract state machines (ASMs) such that the Future Event List is part of the transition system state and the transition function is based on event routines.

Wagner Gerd. Introduction to information and process modeling for simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 520-534.
This tutorial presents a general approach how to use Unified Modeling Language class diagrams and Business Process Modeling Notation process diagrams at all three levels of model-driven simulation engineering: for making conceptual simulation models, for making platformindependent simulation design models, and for making platform-specific, executable simulation models.

Wainer Gabriel A., Stewart Scott. A Cell-DEVS model for fracture propagation in rock // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 989-1000.
We present a cellular model to study the propagation of cracks in a given sample of rock. The model uses the fractal geometry found in real rocks and the stress and strain on an element of rock to update the element’s strength. We study the propagation speed of the cracks with different initial conditions. The model shows that the more inhomogeneous a rock sample is the quicker a fracture can propagate through it.

Wallentin G., Neuwirth C. (2017). Dynamic hybrid modelling: Switching between AB and SD designs of a predator-prey model // Ecological Modelling, 345, 165-175.

Wang Jianling, George Vivek, Balch Tucker, Hybinette Maria. Stockyard: a discrete event-based stock market exchange simulator // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1193-1203.
We describe an agent-based stock market simulator built using an asynchronous discrete event simulation framework. The simulator is unique in that it’s driven by real-world financial algorithms and protocols; and it’s open source. It utilizes an order book bid and ask matching model, and real-world exchange protocols.

Wang Shiyu, Liu Guangwu, Zhang Kun. A misspecification test for simulation metamodels // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1938-1949.
In this paper we propose a novel misspecification test for simulation metamodels. It is a consistent test that helps to assess the adequacy of simulation metamodels.

Wang Yifan, Kim Daniel, Kim Seong-Hee, Lee Haengju. Designing highway access control system using multi-class M/G/C/C state dependent queueing model and cross-entropy method // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1443-1454.
In this paper, we consider a futuristic scenario where there exists a special lane in a segment of a highway; vehicles which wish to use the lane must send access requests ahead of time; and only the vehicles whose requests are accepted can use the lane.

Weld Christopher, Leemis Lawrence. Modeling mixed type random variables // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1595-1606.
Mixed type random variables contain both continuous and discrete components, and their role is critical in many well-studied fields. Queuing analysis, stock options, and hydrology rainfall models are among those dependent on mixed random variables to simulate event outcomes. In each of these examples, continuous positive distributions combine with a discrete spike at zero to adequately represent system uncertainty. These problems often require simulation because analytic solutions using these hybrid distributions quickly grow in complexity. This paper details these challenges, and touches on the shifting line between simulations and attainable analytic results.

Wenjie Tang, Yiping Yao, Feng Zhu, Tianlin Li, Xiao Song. A work-stealing based dynamic load balancing algorithm for conservative parallel discrete event simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 798-809.
In this paper, we propose a work-stealing based dynamic load balancing algorithm with the aim of combining their advantages. It adaptively rebalances the LPs distribution based on a priori estimation, and uses a greedy lock-free work-stealing scheme to eliminate bias at runtime.

White K.Preston, Ingalls Ricki G. The basics of simulations // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 505-519.
In this tutorial, we focus principally on discrete-event simulation – its underlying concepts, structure and application.

Wu Xiaoliang, Yang Qi, Liu Xin, Jin Dong, Lee Cheol Won. A hardware-in-the-loop emulation testbed for high fidelity and reproducible network experiments // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 408-418.
In this work, we present a network testbed consisting of container-based network emulation and physical devices to advocate high fidelity and reproducible networking experiments.

Xie Junfei, He Chenyuan, Wan Yan, Mills Kevin, Dabrowski Christopher. A layered and aggregated queuing network simulator for detection of abnormalities // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1073-1084.
We illustrate the model structure, flow processing mechanisms, and simulator implementation. We also illustrate the use of this simulator to detect distributed denial-of-service flooding attacks, based on a cross-correlation-based measure. Finally, we show that the layered structure provides new insights on the spatiotemporal spread patterns of cascading failure, by revealing spreads both horizontally within a sub-network and vertically across sub-networks.

Xie Wei, Zhang Pu, Zhang Qiong. A stochastic simulation calibration framework for real-time system control // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1914-1925.
To provide a reliable guidance, we propose a simulation calibration framework. We first develop a spatial-temporal metamodel to estimate the system dynamic behaviors at different settings of calibration parameters.

Yi Wenchao, Zhong Jinghui, Tan Singkuang, Cai Wentong, Hu Nan. Surrogate assisted calibration framework for crowd model calibration // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1216-1227.
In this paper, surrogate assisted calibration frameworks are proposed to calibrate the crowd model. To integrate the surrogate models into the evolutionary calibration framework, both the offline and online training based approaches are developed.

Yilmaz Levent, Chakladar Sritika, Doud Kyle, Smith Alice E., Teran-Somohano Alejandro, Oguztuzun Halit, Cam Sema, Dayıbas Orcun¸ Gorur Bilge K. Models as self-aware cognitive agents and adaptive mediators for model-driven science // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1300-1311.
We put forward a methodological basis, which aims to (1) explore the utility of viewing models as adaptive agents that mediate among domain theories, data, requirements, principles, and analogies, (2) underline the role of cognitive assistance for model discovery, experimentation, and evidence evaluation so as to differentiate between competing models and to attain a balance between model exploration and exploitation, and (3) examine strategies for explanatory justification of model assumptions via cognitive models that explicate coherence judgments.

Zamzami N., Schiffauerova A. (2017). The impact of individual collaborative activities on knowledge creation and transmission // Scientometrics, 111(3), pp. 1385-1413.

Zandi M. (2017). Simulation of Ascorbic Acid Release from Alginate-Whey Protein Concentrates Microspheres at the Simulated Gastrointestinal Condition Using Netlogo Platform // Journal of Food Process Engineering, 40.

Zeigler Bernard P. Why should we develop simulation models in pairs? // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.2.

Zhang Yue, Cassandras Christos G., Li Wei, Mosterman Pieter J. A simevents model for hybrid traffic simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1455-1466.
In this paper, a SimEvents-based framework is introduced for hybrid traffic simulation at the microscopic level. This framework enables users to apply different control strategies for Connected Automated Vehiclesand carry out performance analysis of proposed algorithms by authoring customized discrete-event and hybrid systems based on MATLAB Discrete-Event System using object-oriented MATLAB. The framework spans multiple toolboxes including MATLAB, Simulink, and SimEvents.

Zhang, L., & Zeng, Z. (2017). Cascading Failure in the Maximum Entropy Based Dense Weighted Directed Network: An Agent-based Computational Experiment.

Zia K., Din A., Shahzad K., Ferscha A. (2017). A Cognitive Agent-based Model for Multi-Robot Coverage at a City Scale. Complex Adaptive Systems Modeling, 5(1), 1.



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