| 书目名称 | Evolutionary Constrained Optimization |
| 编辑 | Rituparna Datta,Kalyanmoy Deb |
| 视频video | |
| 概述 | Self-contained collection of current research addressing the general constrained optimization problems.Contains specific chapter on hybrid optimization, which is gaining lots of popularity nowadays du |
| 丛书名称 | Infosys Science Foundation Series |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2015 |
| 关键词 | Computational Intelligence; Constrained Optimization; Constraint Handling; Evolutionary Computation; Hyb |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-81-322-2184-5 |
| isbn_softcover | 978-81-322-3505-7 |
| isbn_ebook | 978-81-322-2184-5Series ISSN 2363-6149 Series E-ISSN 2363-6157 |
| issn_series | 2363-6149 |
| copyright | Springer India 2015 |
发表于 2025-3-21 18:25:25
