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Handbook of simulation optimization. (English) Zbl 1303.90004
International Series in Operations Research & Management Science 216. New York, NY: Springer (ISBN 978-1-4939-1383-1/hbk; 978-1-4939-1384-8/ebook). xvi, 387 p. (2015).
Publisher’s description: This handbook presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods, and Markov decision processes.
This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners, and graduate students in the business/engineering fields of operations research, management science, operations management, and stochastic control, as well as in economics/finance and computer science.
The articles of this volume will not be indexed individually.

MSC:
90-06 Proceedings, conferences, collections, etc. pertaining to operations research and mathematical programming
90B50 Management decision making, including multiple objectives
00A72 General theory of simulation
00A69 General applied mathematics
00B15 Collections of articles of miscellaneous specific interest
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