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[Studies in Computational Intelligence] Hybrid Metaheuristics Volume 434 || A VNS-Based Heuristic for Feature Selection in Data Mining

✍ Scribed by Talbi, El-Ghazali

Book ID
120408098
Publisher
Springer Berlin Heidelberg
Year
2013
Tongue
English
Weight
384 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.

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