Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWSC 2002: San Diego, California, USA
- Jane L. Snowdon, John M. Charnes:
Proceedings of the 34th Winter Simulation Conference: Exploring New Frontiers, San Diego, California, USA, December 8-11, 2002. WSC 2002, ISBN 0-7803-7615-3
Keynote address
- Paul L. Graziani:
Addressing the challenges of aerospace and defense initiatives using software analysis tools. 3-4
Introductory tutorials
- Ricki G. Ingalls:
Introduction to simulation: introduction to simulation. 7-16 - Andrew F. Seila:
Spreadsheet simulation: spreadsheet simulation. 17-22 - Marvin K. Nakayama:
Output analysis: simulation output analysis. 23-34 - Bahar Biller, Barry L. Nelson:
Input modeling: answers to the top ten input modeling questions. 35-40 - Averill M. Law, Michael G. McComas:
Simulation optimization: simulation-based optimization. 41-44 - Russell R. Barton:
Simulation experiments: designing simulation experiments. 45-51 - John S. Carson II:
Verification validation: model verification and validation. 52-58 - Leonardo Chwif, Marcos Ribeiro Pereira Barretto, Eduardo Saliby:
Supply chain analysis: supply chain analysis: spreadsheet or simulation? 59-66 - Tamrat W. Tewoldeberhan, Alexander Verbraeck, Edwin Valentin, Gilles Bardonnet:
Software evaluation and selection: an evaluation and selection methodology for discrete-event simulation software. 67-75
Advanced tutorials
- Sigurdur Ólafsson, Jumi Kim:
Simulation optimization: simulation optimization. 79-84 - Christos Alexopoulos, Seong-Hee Kim:
Statistical analysis of simulation output: output data analysis for simulations. 85-96 - Thomas J. Schriber, Daniel T. Brunner:
Inside simulation software: how it works and why it matters: inside discrete-event simulation software: how it works and why it matters. 97-107 - Minghua Hsieh:
Adaptive monte carlo methods for rare event simulation: adaptive monte carlo methods for rare event simulations. 108-115 - Susan M. Sanchez, Thomas W. Lucas:
Exploring the world of agent-based simulations: simple models, complex analyses: exploring the world of agent-based simulations: simple models, complex analyses. 116-126 - Scott M. Preddy, Richard E. Nance:
Key requirements for cave simulations: key requirements for cave simulations. 127-135 - Thomas N. Herzog:
Bayesian statistics and the monte carlo method: bayesian statistics and the monte carlo method. 136-146 - John R. Clymer:
Simulation-based engineering of complex systems: simulation-based engineering of complex systems using EXTEND+MFG+OpeMCSS. 147-156 - John Keller:
Human performance modeling for discrete-event simulation: human performance modeling for discrete-event simulation: workload. 157-162
Software/modelware tutorials a
- Judy Rathmell, David T. Sturrock:
Arena: the arena product family: enterprise modeling solutions. 165-172 - Matthew W. Rohrer, Ian McGregor:
AutoMod: simulating reality using AutoMod. 173-181 - Richard A. Phelps, David J. Parsons, Andrew J. Siprelle:
Non-item based tools: non-item based discrete-event simulation tools. 182-186 - Daniel W. Schunk, Wendy K. Bloechle, K. Ronald Laughery Jr.:
Micro Saint: Micro Saint modeling and the human element. 187-191 - Charles R. Harrell, Rochelle N. Price:
Promodel: simulation modeling using promodel technology. 192-198 - Averill M. Law, Michael G. McComas:
ExpertFit: how the ExpertFit distribution-fitting software can make your simulation models more valid. 199-204 - David Krahl:
Extend: the Extend simulation environment. 205-213 - Osman Balci, Robin J. Adams, David S. Myers, Richard E. Nance:
Credibility assessment: a collaborative evaluation environment for credibility assessment of modeling and simulation applications. 214-220 - Jean J. O'Reilly:
AweSim: introduction to AweSim. 221-224
Software/modelware tutorials b
- Richard A. Kilgore:
Silk: object-oriented simulation with Java, Silk, and open SML .NET languages. 227-233 - Pierre L'Ecuyer, Lakhdar Meliani, Jean G. Vaucher:
SSJ: SSJ: a framework for stochastic simulation in Java. 234-242 - Arnold H. Buss:
Simkit: component based simulation modeling with Simkit. 243-249 - William B. Nordgren:
Flexsim: Flexsim simulation environment. 250-252
Analysis methodology
- Bahar Biller, Barry L. Nelson:
Advanced input modeling: parameter estimation for ARTA processes. 255-262 - Soumyadip Ghosh, Shane G. Henderson:
Advanced input modeling: properties of the NORTA method in higher dimensions. 263-269 - Dorota Kurowicka, Roger M. Cooke:
Advanced input modeling: the vine copula method for representing high dimensional dependent distributions: application to continuous belief nets. 270-278 - Jumi Kim, Sigurdur Ólafsson:
Optimization via simulation: two-stage NP method with inheritance. 279-284 - Xiaoping Xiong, I-Jeng Wang, Michael C. Fu:
Optimization via simulation: randomized-direction stochastic approximation algorithms using deterministic sequences. 285-291 - Juta Pichitlamken, Barry L. Nelson:
Optimization via simulation: a combined procedure for optimization via simulation. 292-300 - Pieter-Tjerk de Boer, Dirk P. Kroese, Reuven Y. Rubinstein:
Rare event simulation and combinatorial optimization using cross entropy: estimating buffer overflows in three stages using cross-entropy. 301-309 - Tito Homem-de-Mello
, Reuven Y. Rubinstein:
Rare event simulation and combinatorial optimization using cross entropy: estimation of rare event probabilities using cross-entropy. 310-319 - Jonathan M. Keith, Dirk P. Kroese:
Rare event simulation and combinatorial optimization using cross entropy: sequence alignment by rare event simulation. 320-327 - James M. Calvin, Marvin K. Nakayama:
Output analysis: a comparison of output-analysis methods for simulations of processes with multiple regeneration sequences. 328-335 - Natalie M. Steiger, Christos Alexopoulos, David Goldsman, Emily K. Lada, James R. Wilson, Faker Zouaoui:
Output analysis: ASAP2: an improved batch means procedure for simulation output analysis. 336-344 - Bruce W. Schmeiser, Yingchieh Yeh:
Output analysis: on choosing a single criterion for confidence-interval procedures. 345-352 - Russell R. Barton, Stephen E. Chick, Russell C. H. Cheng, Shane G. Henderson, Averill M. Law, Bruce W. Schmeiser, Lawrence M. Leemis, Lee Schruben, James R. Wilson:
Panel discussion on current issues in input modeling: panel on current issues in simulation input modeling. 353-369 - Minghua Hsieh, Peter W. Glynn:
Recent advances in simulation optimization: confidence regions for stochastic approximation algorithms. 370-376 - Ebru Angün, Jack P. C. Kleijnen, Dick den Hertog, Gül Gürkan:
Recent advances in simulation optimization: response surface methodology revisited. 377-383 - E. Jack Chen:
Recent advances in simulation optimization: a conservative adjustment to the ETSS procedure. 384-391 - Michael Freimer, Lee Schruben:
Simulation input analysis: collecting data and estimating parameters for input distributions. 393-399 - Stephen E. Chick, Szu Hui Ng:
Simulation input analysis: joint criterion for factor identification and parameter estimation. 400-406 - Donald Gross, John Shortle, Martin J. Fischer, Denise M. Bevilacqua Masi:
Simulation input analysis: difficulties in simulating queues with Pareto service. 407-415 - Roberto Szechtman, Peter W. Glynn:
Difficult queuing simulation problems: rare-event simulation for infinite server queues. 416-423 - Bruce Shultes:
Difficult queuing simulation problems: a balanced likelihood ratio approach for analyzing rare events in a tandem Jackson network. 424-432 - John C. Sees Jr., John Shortle:
Difficult queuing simulation problems: simulating M/G/1 queues with heavy-tailed service. 433-438 - Stewart Robinson:
New simulation output analysis techniques: a statistical process control approach for estimating the warm-up period. 439-446 - E. Jack Chen:
New simulation output analysis techniques: two-phase quantile estimation. 447-455 - Andrés Suárez-González, José C. López-Ardao, Cándido López-García, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga, Maria Estrella Sousa Vieira:
New simulation output analysis techniques: a batch means procedure for mean value estimation of processes exhibiting long range dependence. 456-464
Modeling methodology a
- Darren T. Drewry, Paul F. Reynolds Jr., William R. Emanuel:
Optimization and response surfaces: an optimization-based multi-resolution simulation methodology. 467-475 - Paul J. Stewart, Peter J. Fleming, Sheena A. MacKenzie:
Optimization and response surfaces: on the response surface methodology and designed experiments for computationally intensive distributed aerospace simulations. 476-482 - Miyoung Shin, Robert G. Sargent, Amrit L. Goel:
Optimization and response surfaces: Gaussian radial basis functions for simulation metamodeling. 483-488 - Helen D. Karatza, Ralph C. Hilzer Jr.:
Parallel and distributed systems: load sharing in heterogeneous distributed systems. 489-496 - Sabri Pllana, Thomas Fahringer:
Parallel and distributed systems: UML based modeling of performance oriented parallel and distributed applications. 497-505 - Xiao Xu, Yi-Chiun Chen, Hua Xu, Eren Gonen, Peijuan Liu:
Parallel and distributed systems: simulation analysis of RLC timers in UMTS systems. 506-512 - Tony Waller, John Ladbrook:
Virtual worlds: experiencing virtual factories of the future. 513-517 - Lee A. Belfore II, Sudheer Battula:
Virtual worlds: VRML clients linked through concurrent chat. 518-524 - Farhad Azadivar, Tu Hoang Truong, Kevin D. E. Stokesbury, Brian J. Rothschild:
Virtual worlds: simulation based optimization in fishery management. 525-531 - Jennifer Kreke, Andrew J. Schaefer, Derek C. Angus, Cindy L. Bryce, Mark S. Roberts:
Methods for special applications: incorporating biology into discrete event simulation models of organ allocation. 532-536 - Michael Norman:
Methods for special applications: a recursive method for traffic management through a complex path network. 537-541 - Alexandre Muzy, Eric Innocenti, Antoine Aïello, Jean François Santucci, Gabriel A. Wainer:
Methods for special applications: Cell-DEVS quantization techniques in a fire spreading application. 542-549 - Sid Redman, Sarah Law:
Practice: an examination of implementation in extend, arena, and silk. 550-556 - Bruce Gunn, Saeid Nahavandi:
Practice: why initial conditions are important. 557-562 - Edwin Valentin, Alexander Verbraeck:
Practice: guidelines for designing simulation building blocks. 563-571 - Ingolf Ståhl:
Extensions: simulation prototyping. 572-579 - Lei Wei, Honghui Qi:
Extensions: an efficient importance sampling method for rare event simulation in large scale tandem networks. 580-587 - Ezequiel Glinsky, Gabriel A. Wainer:
Extensions: performance analysis of real-time DEVS models. 588-594
Modeling methodology b
- Hans Vangheluwe, Juan de Lara:
XML-based modeling and simulation: meta-models are models too. 597-605 - Senthilanand Chandrasekaran, Gregory A. Silver, John A. Miller, Jorge Cardoso, Amit P. Sheth:
XML-based modeling and simulation: web service technologies and their synergy with simulation. 606-615 - Paul A. Fishwick:
XML-based modeling and simulation: using XML for simulation modeling. 616-622 - Thomas Wiedemann:
Open source initiatives for simulation software: next generation simulation environments founded on open source software and XML-based standard interfaces. 623-628 - Richard A. Kilgore:
Open source initiatives for simulation software: multi-language, open-source modeling using the microsoft .NET architecture. 629-633 - Thorsten Daum, Robert G. Sargent:
Open source initiatives for simulation software: a web-ready HiMASS: facilitating collaborative, reusable, and distributed modeling and execution of simulation models with XML. 634-640 - C. Michael Overstreet:
Improving the model development process: model testing: is it only a special case of software testing? 641-647 - Ray J. Paul, Simon J. E. Taylor:
Improving the model development process: what use is model reuse: is there a crook at the end of the rainbow? 648-652 - Osman Balci, Richard E. Nance, James D. Arthur, William F. Ormsby:
Improving the model development process: expanding our horizons in verification, validation, and accreditation research and practice. 653-663 - George F. Riley:
Network modeling and simulation: on standardized network topologies for network research. 664-670 - Nathan Smith, Trefor J. Delve:
Network modeling and simulation: a motion environment for wireless communications systems simulations. 671-678 - L. Felipe Perrone, David M. Nicol:
Network modeling and simulation: a scalable simulator for TinyOS applications. 679-687 - Agostino G. Bruzzone, Simon J. E. Taylor, Richard M. Fujimoto, Boon-Ping Gan, Steffen Straßburger, Ray J. Paul:
Panel discussion on distributed simulation and industry: potentials and pitfalls: distributed simulation and industry: potentials and pitfalls. 688-694 - Thomas Schulze, Andreas Wytzisk, Ingo Simonis, Ulrich Raape:
Parallel and Distributed Simulation: distributed spatio-temporal modeling and simulation. 695-703 - Malcolm Yoke Hean Low:
Managing external workload with BSP time warp. 704-711 - Xiao Zhonge, Rob Simmonds, Brian W. Unger, John G. Cleary:
Parallel and distributed simulation: fast cell level ATM network simulation. 712-719 - Rohyt V. Belani, Saumitra M. Das, David A. Fisher:
Modeling very large scale systems: one-to-one modeling and simulation of unbounded systems: experiences and lessons. 720-724 - Maged M. Dessouky, Quan Lu, Robert C. Leachman:
Modeling very large scale systems: using simulation modeling to assess rail track infrastructure in densely trafficked metropolitan areas. 725-731 - Arnold H. Buss, Paul J. Sanchez:
Modeling very large scale systems: building complex models with LEGOs (Listener Event Graph Objects). 732-737 - Frank Boydstun, Mike Graul, Perakath C. Benjamin, Michael K. Painter:
Methods and tools for aerospace operations modeling and simulation: new perspectives towards modeling depot MRO. 738-746 - Martin J. Steele, Mansooreh Mollaghasemi, Ghaith Rabadi, Grant R. Cates:
Methods and tools for aerospace operations modeling and simulation: generic simulation models of reusable launch vehicles. 747-753 - Grant R. Cates, Martin J. Steele, Mansooreh Mollaghasemi, Ghaith Rabadi:
Methods and tools for aerospace operations modeling and simulation: modeling the space shuttle. 754-762 - Perakath C. Benjamin, Mike Graul, Madhav Erraguntla:
Methods and tools for aerospace operations modeling and simulation: Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS). 763-771 - Michael Pidd:
Reusing simulation components: simulation software and model reuse: a polemic. 772-775 - Gilbert Chen, Boleslaw K. Szymanski:
Reusing simulation components: cost: a component-oriented discrete event simulator. 776-782 - Glenn P. Rioux, Richard E. Nance:
Reusing simulation components: generalizing: is it possible to create all-purpose simulations? 783-790
Web-based simulation
- Peter H. M. Jacobs, Niels A. Lang, Alexander Verbraeck:
Web-based simulation 1: D-SOL; a distributed Java based discrete event simulation architecture. 793-800 - Hideyuki Mizuta, Yoshiki Yamagata:
Web-based simulation 1: transaction cycle of agents and web-based gaming simulation for international emissions trading. 801-806 - James O. Henriksen, André Hanisch, Stefan Osterburg, Peter Lorenz, Thomas J. Schriber:
Web-based simulation 1: web based simulation center: professional support for simulation projects. 807-815 - Dhananjai Madhava Rao, Philip A. Wilsey:
Web-based simulation 2: performance prediction of dynamic component substitutions. 816-824 - Tom-David Graupner, Hendrik Richter, Wilfried Sihn:
Web-based simulation 2: configuration, simulation and animation of manufacturing systems via the internet. 825-831 - G. Ayorkor Mills-Tettey, Greg Johnston, Linda F. Wilson, Joseph M. Kimpel, Bin Xie:
Web-based simulation 2: the ABELS system: designing an adaptable interface for linking simulations. 832-840 - Richard A. Kilgore:
Web-based simulation 3: simulation web services with .Net technologies. 841-846 - Steven W. Reichenthal:
Web-based simulation 3: re-introducing web-based simulation. 847-852
Military applications
- Kenneth Mark Bryden:
Military keynote: military-based virtual systems engineering. 855-858 - John Herington, Andrew Lane, Noel Corrigan, John A. Golightly:
Campaign analysis: representation of historical events in a military campaign simulation model. 859-863 - James W. Harris Jr.:
Campaign analysis: the sortie generation rate model. 864-868 - Steven J. Rasmussen, Phillip R. Chandler:
Unmanned aerial vehicles: MultiUAV: a multiple UAV simulation for investigation of cooperative control. 869-877 - David R. Jacques:
Unmanned aerial vehicles: modeling considerations for wide area search munition effectiveness analysis. 878-886 - Shane Dougherty, Raymond R. Hill, James T. Moore:
Unmanned aerial vehicles: modeling signal latency effects using arena? 887-892 - Sean Connors, Julie Gauldin, Marshall Smith:
Logistics 1: closed-loop, simulation-based, systems engineering approach to life cycle management of defense systems. 893-900 - David Goldsman, Sébastien Pernet, Keebom Kang:
Logistics 1: simulation of transportation logistics. 901-904 - Keebom Kang, Kenneth H. Doerr, Kyle A. Bryan, Gregorio Ameyugo:
Logistics 1: an analysis of STOM (Ship To Objective Maneuver) in sea based logistics. 905-910 - Gregory H. Graves, Jeffrey L. Higgins:
Logistics 2: applications of simulation in logistics combat developments. 911-916 - Ihsan Sabuncuoglu, Durdu Hakan Utku:
Logistics 2: evaluation of army corps artillery ammunition supply systems via simulation. 917-920