Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)

This book is written for students and researchers in the field of indus trial engineering, computer science, operations research, management science, electrical engineering, and applied mathematics. The aim is to introduce the reader to a subset of topics on simulation-based op timization of lar...

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Tác giả chính: Gosavi, Abhijit
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2015
Những chủ đề:
Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57203
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spelling oai:scholar.dlu.edu.vn:DLU123456789-572032023-11-11T05:42:20Z Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning) Gosavi, Abhijit Parametric Optimization This book is written for students and researchers in the field of indus trial engineering, computer science, operations research, management science, electrical engineering, and applied mathematics. The aim is to introduce the reader to a subset of topics on simulation-based op timization of large-scale and complex stochastic (random) systems. Our goal is not to cover all the topics studied under this broad field. Rather, it is to expose the reader to a selected set of topics that have recently produced breakthroughs in this area. As such, much of the material focusses on some of the key recent advances... 2015-08-06T01:16:53Z 2015-08-06T01:16:53Z 2015 Book 978-1-4899-7490-7 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57203 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Parametric
Optimization
spellingShingle Parametric
Optimization
Gosavi, Abhijit
Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)
description This book is written for students and researchers in the field of indus trial engineering, computer science, operations research, management science, electrical engineering, and applied mathematics. The aim is to introduce the reader to a subset of topics on simulation-based op timization of large-scale and complex stochastic (random) systems. Our goal is not to cover all the topics studied under this broad field. Rather, it is to expose the reader to a selected set of topics that have recently produced breakthroughs in this area. As such, much of the material focusses on some of the key recent advances...
format Book
author Gosavi, Abhijit
author_facet Gosavi, Abhijit
author_sort Gosavi, Abhijit
title Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)
title_short Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)
title_full Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)
title_fullStr Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)
title_full_unstemmed Simulation-Based Optimization (Parametric Optimization Techniques and Reinforcement Learning)
title_sort simulation-based optimization (parametric optimization techniques and reinforcement learning)
publisher Springer
publishDate 2015
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57203
_version_ 1782540444762112000