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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Định dạng: | Sách |
Ngôn ngữ: | English |
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2015
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Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57918 |
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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 |
_version_ |
1819805088655343616 |