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Adaptive and Multilevel Metaheuristics (Studies in Computational Intelligence) Hardcover – 30 May 2008


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From the Back Cover

One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art. Transferring a part of this customization effort to the algorithm itself -endowing it with smart mechanisms to self-adapt to the problem- has been a long pursued goal in the field of metaheuristics.

These mechanisms can involve different aspects of the algorithm, such as for example, self-adjusting the parameters, self-adapting the functioning of internal components, evolving search strategies, etc.

Recently, the idea of hyperheuristics, i.e., using a metaheuristic layer for adapting the search by selectively using different low-level heuristics, has also been gaining popularity. This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization.

About the Author

The authors are researchers, doing active research into the topic of metaheuristics. They teach courses on the subject in universities at undergraduate and graduate levels. They have also been involved in some industrial projects, where we have implemented metaheuristics for real optimisation problems.

Marc Sevaux is a Professor at the University of South-Brittany (Lorient, France). He is a member of the LESTER Laboratory, a CNRS-affiliated laboratory (FRE 2734). He teaches undergraduate and graduate courses in Operational Research and Computer Science at the Faculty of Science and Technology. He is a former member of the department of Production Systems of the LAMIH. He received his Ph.D. degree in 1998 from the Pierre and Marie Curie University (Paris VI) and conducted his doctoral research at the Ecole des Mines de Nantes in the Department of Automatic Control and Production Engineering. He defended his Habilitation in July 2004 at the University of Valenciennes in the LAMIH laboratory, Production Systems department.

Prof. Sevaux is primarily interested in combinatorial optimization research, particularly production planning, scheduling and routing problems. He is currently working on robustness in scheduling and also on multi-objective routing problems. He is also interested in linear and integer programming to solve various industrial problems.

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