Evolutionary Constrained Optimization

This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; mu...

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Những tác giả chính: Datta, Rituparna, Deb, Kalyanmoy
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/DLU123456789/58497
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spelling oai:scholar.dlu.edu.vn:DLU123456789-584972023-11-11T06:11:34Z Evolutionary Constrained Optimization Datta, Rituparna Deb, Kalyanmoy Constrained optimization Applied Mathematics General This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research. 2015-09-25T01:24:29Z 2015-09-25T01:24:29Z 2015 Book 978-81-322-2184-5 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58497 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Constrained optimization
Applied
Mathematics
General
spellingShingle Constrained optimization
Applied
Mathematics
General
Datta, Rituparna
Deb, Kalyanmoy
Evolutionary Constrained Optimization
description This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
format Book
author Datta, Rituparna
Deb, Kalyanmoy
author_facet Datta, Rituparna
Deb, Kalyanmoy
author_sort Datta, Rituparna
title Evolutionary Constrained Optimization
title_short Evolutionary Constrained Optimization
title_full Evolutionary Constrained Optimization
title_fullStr Evolutionary Constrained Optimization
title_full_unstemmed Evolutionary Constrained Optimization
title_sort evolutionary constrained optimization
publisher Springer
publishDate 2015
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58497
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