Handbook of Simulation Optimization

The Handbook of Simulation Optimization 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 contri...

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Tác giả chính: Fu, Michael C
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2015
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57918
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spelling oai:scholar.dlu.edu.vn:DLU123456789-579182023-11-11T05:54:33Z Handbook of Simulation Optimization Fu, Michael C Simulation methods Mathematical optimization Stochastic processes The Handbook of Simulation Optimization 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. 2015-09-01T09:00:46Z 2015-09-01T09:00:46Z 2015 Book 978-1-4939-1384-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57918 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Simulation methods
Mathematical optimization
Stochastic processes
spellingShingle Simulation methods
Mathematical optimization
Stochastic processes
Fu, Michael C
Handbook of Simulation Optimization
description The Handbook of Simulation Optimization 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.
format Book
author Fu, Michael C
author_facet Fu, Michael C
author_sort Fu, Michael C
title Handbook of Simulation Optimization
title_short Handbook of Simulation Optimization
title_full Handbook of Simulation Optimization
title_fullStr Handbook of Simulation Optimization
title_full_unstemmed Handbook of Simulation Optimization
title_sort handbook of simulation optimization
publisher Springer
publishDate 2015
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57918
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