Self-Adaptive Heuristics for Evolutionary Computation (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
182
Utgivningsdatum
2010-10-28
Upplaga
Softcover reprint of hardcover 1st ed. 2008
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Illustrationer
38 Tables, black and white; 39 Illustrations, black and white; XII, 182 p. 39 illus.
Dimensioner
234 x 156 x 11 mm
Vikt
281 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783642088780
Self-Adaptive Heuristics for Evolutionary Computation (häftad)

Self-Adaptive Heuristics for Evolutionary Computation

Häftad Engelska, 2010-10-28
1879
Skickas inom 10-15 vardagar.
Fri frakt inom Sverige för privatpersoner.
Finns även som
Visa alla 2 format & utgåvor
Evolutionary algorithms are successful biologically inspired meta-heuristics. Their success depends on adequate parameter settings. The question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer decades ago: self-adaptation. Their self-adaptive mutation control turned out to be exceptionally successful. But nevertheless self-adaptation has not achieved the attention it deserves. This book introduces various types of self-adaptive parameters for evolutionary computation. Biased mutation for evolution strategies is useful for constrained search spaces. Self-adaptive inversion mutation accelerates the search on combinatorial TSP-like problems. After the analysis of self-adaptive crossover operators the book concentrates on premature convergence of self-adaptive mutation control at the constraint boundary. Besides extensive experiments, statistical tests and some theoretical investigations enrich the analysis of the proposed concepts.
Visa hela texten

Passar bra ihop

  1. Self-Adaptive Heuristics for Evolutionary Computation
  2. +
  3. Dimensionality Reduction with Unsupervised Nearest Neighbors

De som köpt den här boken har ofta också köpt Dimensionality Reduction with Unsupervised Near... av Oliver Kramer (häftad).

Köp båda 2 för 3278 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Oliver Kramer

Innehållsförteckning

I: Foundations of Evolutionary Computation.- Evolutionary Algorithms.- Self-Adaptation.- II: Self-Adaptive Operators.- Biased Mutation for Evolution Strategies.- Self-Adaptive Inversion Mutation.- Self-Adaptive Crossover.- III: Constraint Handling.- Constraint Handling Heuristics for Evolution Strategies.- IV: Summary.- Summary and Conclusion.- V: Appendix.- Continuous Benchmark Functions.- Discrete Benchmark Functions.