UID:
almafu_9959327230002883
Format:
1 online resource (xxviii, 586 pages) :
,
illustrations
ISBN:
9780470225868
,
0470225866
,
9780470225851
,
0470225858
Series Statement:
IEEE Press series on power engineering
Content:
Provides readers with basic knowledge of evolutionary computation and other heuristic optimization techniques, and explains how they are combined with knowledge elements in computational intelligence systems. This book presents applications to power problems, and example applications.
Note:
MODERN HEURISTIC OPTIMIZATION TECHNIQUES; CONTENTS; PREFACE; CONTRIBUTORS; PART 1 THEORY OF MODERN HEURISTIC OPTIMIZATION; 1 Introduction to Evolutionary Computation; 2 Fundamentals of Genetic Algorithms; 3 Fundamentals of Evolution Strategies and Evolutionary Programming; 4 Fundamentals of Particle Swarm Optimization Techniques; 5 Fundamentals of Ant Colony Search Algorithms; 6 Fundamentals of Tabu Search; 7 Fundamentals of Simulated Annealing; 8 Fuzzy Systems; 9 Differential Evolution, an Alternative Approach to Evolutionary Algorithm; 10 Pareto Multiobjective Optimization.
Additional Edition:
Print version: Modern heuristic optimization techniques. Hoboken, N.J. : Wiley ; Chichester : John Wiley [distributor], 2008 ISBN 9780471457114
Additional Edition:
ISBN 0471457116
Language:
English
Subjects:
Engineering
Keywords:
Electronic books.
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Electronic books.
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Electronic books.
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Electronic books.
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Electronic books.
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Electronic books.
DOI:
10.1002/9780470225868
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470225868
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470225868
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470225868
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