Evolutionary Optimization: the µGP toolkit
This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to autonomously find the optimal solution of hard pro...
Cote: | Libro Electrónico |
---|---|
Auteurs principaux: | Sanchez, Ernesto (Auteur), Schillaci, Massimiliano (Auteur), Squillero, Giovanni (Auteur) |
Collectivité auteur: | SpringerLink (Online service) |
Format: | Électronique eBook |
Langue: | Inglés |
Publié: |
New York, NY :
Springer US : Imprint: Springer,
2011.
|
Édition: | 1st ed. 2011. |
Sujets: | |
Accès en ligne: | Texto Completo |
Documents similaires
-
Constraint-Handling in Evolutionary Optimization
Publié: (2009) -
Evolutionary Multi-objective Optimization in Uncertain Environments Issues and Algorithms /
par: Goh, Chi-Keong, et autres
Publié: (2009) -
Linkage in Evolutionary Computation
Publié: (2008) -
Hybrid Evolutionary Algorithms
Publié: (2007) -
Self-Adaptive Heuristics for Evolutionary Computation
par: Kramer, Oliver
Publié: (2008)