Variants of evolutionary algorithms for real-world applications
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in...
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| Другие авторы: | , , |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2012.
Cham : Springer Nature |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Variants of Evolutionary Algorithms for Real-World Applications, Texte imprimé, 9783642234231 • Variants of Evolutionary Algorithms for Real-World Applications, Texte imprimé, 9783642234255 • Variants of Evolutionary Algorithms for Real-World Applications, Texte imprimé, 9783642440588 |
Оглавление:
- Section I: Introduction
- Section II: Planning & Scheduling
- Section III: Engineering
- Section IV: Data Collection, Retrieval & Mining.