Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in βHybri
[Studies in Computational Intelligence] Hybrid Evolutionary Algorithms Volume 75 || A Hybrid Evolutionary Heuristic for Job Scheduling on Computational Grids
β Scribed by Abraham, Ajith; Grosan, Crina; Ishibuchi, Hisao
- Book ID
- 119945653
- Publisher
- Springer Berlin Heidelberg
- Year
- 2007
- Tongue
- English
- Weight
- 667 KB
- Edition
- 1
- Category
- Article
- ISBN
- 3540732977
No coin nor oath required. For personal study only.
β¦ Synopsis
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in βHybrid Evolutionary Algorithmsβ. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
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