Advances in evolutionary algorithms : theory, design and practice
Author(s)
Bibliographic Information
Advances in evolutionary algorithms : theory, design and practice
（Studies in computational intelligence, v. 18）
Springer, c2006
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Note
Includes bibliographical references (p. [159]-166) and index
Description and Table of Contents
Description
Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.
Table of Contents
Practical Genetic Algorithms.- Real-World Application: Routing Problem.- Elitist Compact Genetic Algorithms.- Real-coded Bayesian Optimization Algorithm.- Multiobjective Real-coded Bayesian Optimization Algorithm.- Conclusions.
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