Evolutionary Constrained Optimization (2015) (Infosys Science Foundation Series)

By: Rituparna Datta and Kalyanmoy Deb

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9788132221845
Related ISBNs:: 9788132221838
Publisher:: Springer India
Date of Addition:: 10/17/19
Copyrighted By:: Springer India, New Delhi
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Rituparna Datta
Edited by:: Kalyanmoy Deb