Hybrid Metaheuristics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Talbi, El-Ghazali. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 434
• Subjects: Engineering.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-30671-6

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 u...

Table of Contents:

• Part I Hybrid metaheuristics for mono and multi-objective optimization, and optimization under uncertainty
• Part II Combining metaheuristics with (complementary) metaheuristics
• Part III Combining metaheuristics with exact methods from mathematical programming approaches
• Part IV Combining metaheuristics with constraint programming approaches
• Part V Combining metaheuristics with machine learning and data mining techniques.