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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| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
New Delhi
Springer
2015
|
| Series: | Infosys science foundation series
Applied sciences and engineering |
| Subjects: | |
| Online Access: | Volltext Volltext https://ebookcentral.proquest.com/lib/gbv/detail.action?docID=1967563 Volltext Cover Cover Inhaltstext |
| Summary: | 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. Rituparna Datta is a postdoctoral research fellow with the Robot Intelligence Technology (RIT) Laboratory at the Korea Advanced Institute of Science and Technology (KAIST). He earned his PhD in Mechanical Engineering at Indian Institute of Technology (IIT) Kanpur and thereafter worked as a Project Scientist in the Smart Materials, Structures, and Systems Lab at IIT Kanpur. His current research work involves investigation of Evolutionary Algorithms-based approaches to constrained optimization, applying multi-objective optimization in engineering design problems, memetic algorithms, derivative-free optimization, and robotics. He is a member of ACM, IEEE, and IEEE Computational Intelligence Society. He has been invited to deliver lectures in several institutes and universities across the globe, including at the Trinity++ |
| Item Description: | Includes index |
| Physical Description: | color illustrations |
| ISBN: | 8132221842 9788132221845 9788132221838 |
Staff View
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| 520 | 1 | |a 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. Rituparna Datta is a postdoctoral research fellow with the Robot Intelligence Technology (RIT) Laboratory at the Korea Advanced Institute of Science and Technology (KAIST). He earned his PhD in Mechanical Engineering at Indian Institute of Technology (IIT) Kanpur and thereafter worked as a Project Scientist in the Smart Materials, Structures, and Systems Lab at IIT Kanpur. His current research work involves investigation of Evolutionary Algorithms-based approaches to constrained optimization, applying multi-objective optimization in engineering design problems, memetic algorithms, derivative-free optimization, and robotics. He is a member of ACM, IEEE, and IEEE Computational Intelligence Society. He has been invited to deliver lectures in several institutes and universities across the globe, including at the Trinity++ | |
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| id | DE-604.BV044632192 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:57:40Z |
| institution | BVB |
| isbn | 8132221842 9788132221845 9788132221838 |
| language | English |
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| physical | color illustrations |
| publishDate | 2015 |
| publishDateSearch | 2015 |
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| publisher | Springer |
| record_format | marc |
| series2 | Infosys science foundation series Applied sciences and engineering |
| spelling | Evolutionary constrained optimization Rituparna Datta, Kalyanmoy Deb, editors New Delhi Springer 2015 color illustrations txt rdacontent c rdamedia cr rdacarrier Infosys science foundation series Applied sciences and engineering Includes index 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. Rituparna Datta is a postdoctoral research fellow with the Robot Intelligence Technology (RIT) Laboratory at the Korea Advanced Institute of Science and Technology (KAIST). He earned his PhD in Mechanical Engineering at Indian Institute of Technology (IIT) Kanpur and thereafter worked as a Project Scientist in the Smart Materials, Structures, and Systems Lab at IIT Kanpur. His current research work involves investigation of Evolutionary Algorithms-based approaches to constrained optimization, applying multi-objective optimization in engineering design problems, memetic algorithms, derivative-free optimization, and robotics. He is a member of ACM, IEEE, and IEEE Computational Intelligence Society. He has been invited to deliver lectures in several institutes and universities across the globe, including at the Trinity++ Constrained optimization Deb, Kalyanmoy Sonstige oth Datta, Rituparna Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=926313 Volltext http://gbv.eblib.com/patron/FullRecord.aspx?p=1967563 Volltext https://ebookcentral.proquest.com/lib/gbv/detail.action?docID=1967563 http://ebooks.ciando.com/book/index.cfm/bok_id/1861548 kostenfrei Volltext image/jpeg http://www.ciando.com/img/books/width167/8132221842_k.jpg C Cover image/jpeg http://www.ciando.com/pictures/bib/8132221842bib_t_1.jpg C Cover DE-601 pdf/application http://zbmath.org/?q=an:1321.90010 Zentralblatt MATH Inhaltstext |
| spellingShingle | Evolutionary constrained optimization Constrained optimization |
| title | Evolutionary constrained optimization |
| title_auth | Evolutionary constrained optimization |
| title_exact_search | Evolutionary constrained optimization |
| title_full | Evolutionary constrained optimization Rituparna Datta, Kalyanmoy Deb, editors |
| title_fullStr | Evolutionary constrained optimization Rituparna Datta, Kalyanmoy Deb, editors |
| title_full_unstemmed | Evolutionary constrained optimization Rituparna Datta, Kalyanmoy Deb, editors |
| title_short | Evolutionary constrained optimization |
| title_sort | evolutionary constrained optimization |
| topic | Constrained optimization |
| topic_facet | Constrained optimization |
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