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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| Tác giả chính: | |
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| Tác giả khác: | , |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2007. |
| Loạt: | Studies in Computational Intelligence
54 |
| Những chủ đề: | |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
Mục lục:
- 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