Towards a new evolutionary computation : advances in the estimation of distribution algorithms
This is a nicely edited volume on Estimation of Distribution Algorithms (EDAs) by leading researchers on this important topic. It covers a wide range of topics in EDAs, from theoretical analysis to experimental studies, from single objective to multi-objective optimisation, and from parallel EDAs to...
Na minha lista:
| Outros Autores: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin ; Heidelberg :
Springer
[20..].
Cham : Springer Nature |
| Colecção: | Studies in fuzziness and soft computing
vol. 192 Studies in Fuzziness and Soft Computing 192 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Towards a new evolutionary computation, advances in the estimation of distribution algorithms, Jose A. Lozano ... [et al.], Berlin, Springer, 2006, 1 vol (xv-294 p.), Studies in fuzziness and soft computing, 3-540-29006-0 |
Sumário:
- Linking Entropy to Estimation of Distribution Algorithms Entropy-based Convergence Measurement in Discrete Estimation of Distribution Algorithms Real-coded Bayesian Optimization Algorithm The CMA Evolution Strategy: A Comparing Review Estimation of Distribution Programming: EDA-based Approach to Program Generation Multi-objective Optimization with the Naive ID A A Parallel Island Model for Estimation of Distribution Algorithms GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm Bayesian Classifiers in Optimization: An EDA-like Approach Feature Ranking Using an EDA-based Wrapper Approach Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem