Parameter setting in evolutionary algorithms
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 values. Typically these are specified before the algorithm is run and include population size, selection rate, operato...
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Ausgabe: | 1st ed. 2007. |
| Schriftenreihe: | Studies in Computational Intelligence
54 |
| Schlagworte: | |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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| Edition sous un autre format: | • Parameter setting in evolutionary algorithms, with 100 figures and 24 tables, Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, (eds.), Berlin, Springer, 2007, 1 vol. (XII-317 p.), Studies in computational intelligence, 978-3-540-69431-1 • Parameter Setting in Evolutionary Algorithms, Texte imprimé, 9783540834625 • Parameter Setting in Evolutionary Algorithms, Texte imprimé, 9783642088926 |
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| 100 | 1 | |a Lobo, Fernando G. | |
| 245 | 1 | 0 | |a Parameter setting in evolutionary algorithms |c edited by Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz (eds.). |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 54 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods | ||
| 650 | |a Calcul évolutionnaire | ||
| 650 | |a Algorithmes génétiques | ||
| 700 | 1 | |a Lima, Cláudio F. |4 pbd | |
| 700 | 1 | |a Michalewicz, Zbigniew, |d 1952-...., |c chercheur en informatique. |4 pbd | |
| 776 | 0 | |0 125237847 |t Parameter setting in evolutionary algorithms |o with 100 figures and 24 tables |f Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, (eds.) |c Berlin |n Springer |d 2007 |p 1 vol. (XII-317 p.) |s Studies in computational intelligence |z 978-3-540-69431-1 | |
| 776 | 0 | |t Parameter Setting in Evolutionary Algorithms |b Texte imprimé |z 9783540834625 | |
| 776 | 0 | |t Parameter Setting in Evolutionary Algorithms |b Texte imprimé |z 9783642088926 | |
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