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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| Ngôn ngữ: | English |
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Springer
2015
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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 |
| _version_ |
1819771273481289728 |