Markov Networks in Evolutionary Computation
Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs). EDAs have arisen as one of the most successful experiences in the application of...
Gorde:
| Beste egile batzuk: | , |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Saila: | Adaptation, Learning, and Optimization
14 |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Markov Networks in Evolutionary Computation, Texte imprimé, 9783642288999 |
Aurkibidea:
- From the content: Probabilistic Graphical Models and Markov Networks A review of Estimation of Distribution Algorithms and Markov networks MOA - Markovian Optimisation Algorithm DEUM - Distribution Estimation Using Markov Networks MN-EDA and the use of clique-based factorisations in EDAs Convergence Theorems of Estimation of Distribution Algorithms Adaptive Evolutionary Algorithm based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure