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Can I read Self-Adaptive Heuristics for Evolutionary Computation (Studies in Computational Intelligence, 147) on EtoBox?
Self-Adaptive Heuristics for Evolutionary Computation (Studies in Computational Intelligence, 147) by Oliver Kramer is a computer science book available to read on EtoBox.
What is Self-Adaptive Heuristics for Evolutionary Computation (Studies in Computational Intelligence, 147) about?
<p>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.</p> <p>This book introduces vario
Who reads Self-Adaptive Heuristics for Evolutionary Computation (Studies in Computational Intelligence, 147)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Oliver Kramer
- Publisher
- Springer Berlin
- Published
- 2008
- Language
- EN
- ISBN
- 9783540692812
- Category
- computer science
- Subjects
- Mathematics, Engineering, Technology
- Updated
- 2026-03-25