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Fernando G.. Lobo#Cláudio F. Lima#Zbigniew Michalewicz:
Parameter Setting in Evolutionary Algorithms - encadernada, livro de bolso2007, ISBN: 9783540694311
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter value… mais…
ISBN: 9783540694311
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter value… mais…
ISBN: 9783540694311
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter value… mais…
2007, ISBN: 9783540694311
Springer, Gebundene Ausgabe, Auflage: 2007, 330 Seiten, Publiziert: 2007-03-16T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 100 black & white illustrations, 24 blac, 1.46 kg, Informati… mais…
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Dados detalhados do livro - Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence, 54, Band 54)
EAN (ISBN-13): 9783540694311
ISBN (ISBN-10): 3540694315
Livro de capa dura
Ano de publicação: 2007
Editor/Editora: Lobo, F.J. Lima, Cláudio F. Michalewicz, Zbigniew, Springer
Livro na base de dados desde 2007-06-05T18:28:05-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-01-31T10:35:39-03:00 (Sao Paulo)
Número ISBN/EAN: 9783540694311
Número ISBN - Ortografia alternativa:
3-540-69431-5, 978-3-540-69431-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: lobo, zbigniew, michale, claudio lima
Título do livro: parameter setting, evolutionary intelligence, studies computational intelligence, algorithms
Dados da editora
Autor: F.J. Lobo; Cláudio F. Lima; Zbigniew Michalewicz
Título: Studies in Computational Intelligence; Parameter Setting in Evolutionary Algorithms
Editora: Springer; Springer Berlin
318 Páginas
Ano de publicação: 2007-03-16
Berlin; Heidelberg; DE
Língua: Inglês
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
XII, 318 p. 100 illus.
BB; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; algorithm; algorithms; calculus; control; evolution; evolutionary algorithm; evolutionary computation; evolutionary strategies; genetic algorithms; genetic programming; multi-objective optimization; mutation; operator; optimization; programming; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BC
Parameter Setting in EAs: a 30 Year Perspective.- Parameter Control in Evolutionary Algorithms.- Self-Adaptation in Evolutionary Algorithms.- Adaptive Strategies for Operator Allocation.- Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms.- Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks.- Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques.- Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms.- Adaptive Population Sizing Schemes in Genetic Algorithms.- Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.- Parameter-less Hierarchical Bayesian Optimization Algorithm.- Evolutionary Multi-Objective Optimization Without Additional Parameters.- Parameter Setting in Parallel Genetic Algorithms.- Parameter Control in Practice.- Parameter Adaptation for GP Forecasting Applications.Recent advances in evolutionary algorithms Includes supplementary material: sn.pub/extras
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