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Advances of Evolutionary Computation: Methods and Operators

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method.

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Detail Information
Series Title
Studies in Computational Intelligence
Call Number
006.3 CUE a
Publisher
Cham, Switzerland : Springer Cham.,
Collation
XIV, 202
Language
English
ISBN/ISSN
978-3-319-80366-1
Classification
006.3
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
Ed. 1
Subject(s)
Artificial Intelligence
Computational Intelligence
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
umi
Source
https://link.springer.com/content/pdf/10.1007/978-3-319-28503-0.pdf?pdf=button
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