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Evolutionary Constrained Optimization

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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.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2015

Collation

72 b/w illustrations, 39 illustrations in colour

Language

English

ISBN/ISSN

978-81-322-2184-5

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Mechanical Engineering
Artificial Intelligence
Computational Intelligence
Optimization

Specific Detail Info

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Statement of Responsibility

Rituparna Datta, Kalyanmoy Deb

Other Information

Cataloger

agus

Source

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Validator

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