Introduction to genetic algorithms
Genetic Algorithms are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of Genetic Algorithms is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first lai...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Introduction to genetic algorithms, S. N. Sivanandam, S. N . Deepa, New York, Springer, 2008, 1 vol. (XIX-442 p.), 978-3-540-73189-4 |
Indholdsfortegnelse:
- Evolutionary Computation Genetic Algorithms Terminologies and Operators of GA Advanced Operators and Techniques in Genetic Algorithm Classification of Genetic Algorithm Genetic Programming Genetic Algorithm Optimization Problems Genetic Algorithm Implementation Using Matlab Genetic Algorithm Optimization in C/C++ Applications of Genetic Algorithms to Particle Swarm Optimization and Ant Colony Optimization