[Studies in Computational Intelligence] Hybrid Metaheuristics Volume 434 || Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search
✍ Scribed by Talbi, El-Ghazali
- Book ID
- 121487999
- Publisher
- Springer Berlin Heidelberg
- Year
- 2013
- Tongue
- English
- Weight
- 476 KB
- Edition
- 2
- Category
- Article
- ISBN
- 3642306713
No coin nor oath required. For personal study only.
✦ Synopsis
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.