Metaheuristics for dynamic optimization
This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in t...
Sparad:
| Huvudupphovsman: | |
|---|---|
| Övriga upphovsmän: | , , , |
| Materialtyp: | Livre numérique |
| Språk: | Anglais |
| Publicerad: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Upplaga: | 1st ed. 2013. |
| Serie: | Studies in Computational Intelligence
433 |
| Länkar: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmärkning: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Metaheuristics for dynamic optimization, Enrique Alba, Amir Nakib, Patrick Siarry, Heidelberg, Springer, 2013, 1 vol. (XXXI-398 p.), Studies in computational intelligence, 978-3-642-30664-8 • Metaheuristics for Dynamic Optimization, Texte imprimé, 9783642306662 • Metaheuristics for Dynamic Optimization, Texte imprimé, 9783642443701 • Metaheuristics for dynamic optimization, Enrique Alba, Amir Nakib, Patrick Siarry, Heidelberg, Springer, 2013, 1 vol. (XXXI-398 p.), Studies in computational intelligence, 978-3-642-30664-8 |
Innehållsförteckning:
- From the Contents: Performance Analysis of Dynamic Optimization Algorithms Quantitative Performance Measures for Dynamic Optimization Problems Dynamic Function Optimization: The Moving Peaks Benchmark SRCS: a technique for comparing multiple algorithms under several factors in Dynamic Optimization Problems Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis Two Approaches for Single and Multi-Objective Dynamic Optimization Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima Dynamic multi-objective optimization using PSO