Guide to Simulation-Based Disciplines, Saurabh Mittal; Umut Durak; Tuncer ?ren

Автор: Theodore T. Allen
Название: Introduction to Discrete Event Simulation and Agent-based Modeling
ISBN: 1447157257 ISBN-13(EAN): 9781447157250
Издательство: Springer
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Цена: 60940.00 T
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Описание: This book shows how simulation can facilitate improvements on the job and in communities. The reader will learn to plan a project and communicate using a charter, how to establish simultaneous intervals on key responses and apply selection and ranking, and more.

Автор: Luis Gustavo Nardin; Luis Antunes
Название: Multi-Agent Based Simulation XVII
ISBN: 3319674765 ISBN-13(EAN): 9783319674766
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Workshop on Multi-Agent-Based Simulation, MABs 2016, held in Singapore, in May 2016.

Автор: Francisco Grimaldo; Emma Norling
Название: Multi-Agent-Based Simulation XV
ISBN: 3319146262 ISBN-13(EAN): 9783319146263
Издательство: Springer
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Цена: 44720.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Workshop on Multi-Agent-Based Simulation, MABS 2014, held in Paris, France, in May 2014.

Автор: Abhijit Gosavi
Название: Simulation-Based Optimization
ISBN: 1489977317 ISBN-13(EAN): 9781489977311
Издательство: Springer
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Цена: 69870.00 T
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Описание:

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.

Key features of this revised and improved Second Edition include:

- Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms)

- Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics

- An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata

- A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations

Themed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis - this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.

Автор: Takao Terano; Hajime Kita; Toshiyuki Kaneda; Kiyos
Название: Agent-Based Simulation: From Modeling Methodologies to Real-World Applications
ISBN: 4431546405 ISBN-13(EAN): 9784431546405
Издательство: Springer
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Цена: 204040.00 T
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Описание: Agent-based modeling/simulation is an emerging field that uses bottom-up and experimental analysis in the social sciences.

Автор: Takao Terano; Hajime Kita; Toshiyuki Kaneda; Kiyos
Название: Agent-Based Simulation: From Modeling Methodologies to Real-World Applications
ISBN: 4431265929 ISBN-13(EAN): 9784431265924
Издательство: Springer
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Цена: 204040.00 T
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Описание: Agent-based modeling/simulation is an emerging field that uses bottom-up and experimental analysis in the social sciences. This book includes selected research from that presented at the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004, held in May 2004 in Kyoto, Japan.

Автор: David Hales; Bruce Edmonds; Emma Norling; Juliette
Название: Multi-Agent-Based Simulation III
ISBN: 3540207368 ISBN-13(EAN): 9783540207368
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Multi-Agent-Based Simulation, MABS 2003, held in Melbourne, Australia as part of AAMAS 2003.The 11 revised full papers presented together with 3 invited papers were carefully selected during two rounds of reviewing and improvement.

Автор: Douglas M. Towne; Ton de Jong; Hans Spada
Название: Simulation-Based Experiential Learning
ISBN: 3642785417 ISBN-13(EAN): 9783642785412
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceediings of the NATO Advanced Research Workshop on The Use of Computer Models for Explication, Analysis and Experiential Learning, held in Bonas, France, October 12-14, 1992

Автор: T. Terano; H. Deguchi; K. Takadama
Название: Meeting the Challenge of Social Problems via Agent-Based Simulation
ISBN: 4431679820 ISBN-13(EAN): 9784431679820
Издательство: Springer
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Цена: 46570.00 T
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Автор: Yuri Merkuryev; Galina Merkuryeva; Miquel ANgel Pi
Название: Simulation-Based Case Studies in Logistics
ISBN: 184996825X ISBN-13(EAN): 9781849968256
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book details different approaches to developing simulation models for engineers dealing with strategic, tactical, or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply management are discussed.

Автор: Xu Han
Название: Numerical Simulation-based Design
ISBN: 9811030898 ISBN-13(EAN): 9789811030895
Издательство: Springer
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Цена: 139750.00 T
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This book focuses on numerical simulation-based design theory and methods in mechanical engineering. The simulation-based design of mechanical equipment involves considerable scientific challenges including extremely complex systems, extreme working conditions, multi-source uncertainties, multi-physics coupling, and large-scale computation. In order to overcome these technical difficulties, this book systematically elaborates upon the advanced design methods, covering high-fidelity simulation modeling, rapid structural analysis, multi-objective design optimization, uncertainty analysis and optimization, which can effectively improve the design accuracy, efficiency, multi-functionality and reliability of complicated mechanical structures. This book is primarily intended for researchers, engineers and postgraduate students in mechanical engineering, especially in mechanical design, numerical simulation and engineering optimization.

Автор: Shah Jamal Alam; H. Van Dyke Parunak
Название: Multi-Agent-Based Simulation XIV
ISBN: 3642547826 ISBN-13(EAN): 9783642547829
Издательство: Springer
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Цена: 37270.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Workshop on Multi-Agent-Based Simulation, MABS 2013, held in Saint Paul, Minnesota, USA, in May 2013.