Overview
- Editors:
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Michel Gendreau
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Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montreal, Canada
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Jean-Yves Potvin
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Département d’informatique et de recherche opérationnelle, Université de Montréal, Montreal, Canada
- Provides a complete update to the handbook for the latest developments in metaheuristics methodologies
- Offers a broad coverage of the concepts, implementations and applications in this important field of optimization
- Includes contributions by renowned experts in metaheuristics
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Other ways to access
Table of contents (19 chapters)
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- Daniel Delahaye, Supatcha Chaimatanan, Marcel Mongeau
Pages 1-35
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- Michel Gendreau, Jean-Yves Potvin
Pages 37-55
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- Pierre Hansen, Nenad Mladenović, Jack Brimberg, José A. Moreno Pérez
Pages 57-97
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- David Pisinger, Stefan Ropke
Pages 99-127
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- Helena Ramalhinho Lourenço, Olivier C. Martin, Thomas Stützle
Pages 129-168
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- Mauricio G. C. Resende, Celso C. Ribeiro
Pages 169-220
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- Rafael Martí, Ricardo Aceves, Maria Teresa León, Jose M. Moreno-Vega, Abraham Duarte
Pages 221-243
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- Pablo Moscato, Carlos Cotta
Pages 275-309
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- Marco Dorigo, Thomas Stützle
Pages 311-351
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- Xiaodong Li, Maurice Clerc
Pages 353-384
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- Günther R. Raidl, Jakob Puchinger, Christian Blum
Pages 385-417
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- Edmund K. Burke, Matthew R. Hyde, Graham Kendall, Gabriela Ochoa, Ender Özcan, John R. Woodward
Pages 453-477
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- Roberto Battiti, Mauro Brunato, Andrea Mariello
Pages 479-511
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- Walter J. Gutjahr, Roberto Montemanni
Pages 513-540
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- Thomas Stützle, Manuel López-Ibáñez
Pages 541-579
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- John Silberholz, Bruce Golden, Swati Gupta, Xingyin Wang
Pages 581-604
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- Xiaodong Li, Maurice Clerc
Pages C1-C1
About this book
The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.
Editors and Affiliations
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Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montreal, Canada
Michel Gendreau
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Département d’informatique et de recherche opérationnelle, Université de Montréal, Montreal, Canada
Jean-Yves Potvin
About the editors
Michel Gendreau is Department Chair and Professor of Operations Research in the Department of Mathematics and Industrial Engineering of Polytechnique Montréal (Canada). He received his Ph.D. from University of Montreal in 1984. His main research area is the application of operations research methods to a wide range of problem areas: transportation and logistics systems planning and operation, energy production and storage, healthcare, and telecommunications. Dr. Gendreau has published more than 300 papers in peer-reviewed journals and conference proceedings. He was the Editor in chief of Transportation Science from 2009 to 2014 and he is a member of several other editorial boards. Dr. Gendreau has received several research grants and awards, including the Robert Herman Lifetime Achievement Award of the Transportation Science & Logistics Society of INFORMS and the Merit Award of the Canadian Operational Research Society. He was elected Fellow of INFORMS in 2010.
Jean-Yves Potvin is Professor at Université de Montréal in the Department of Computer Science and Operations Research. He is also Assistant Director of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). His research integrates operations research and artificial intelligence techniques. More precisely, he is interested in the development of adaptive algorithms based on local search-based metaheuristics, genetic algorithms and neural networks to address different types of vehicle routing problems. He also works on parallel implementations of these algorithms for real-time applications, like dynamic vehicle dispatching.
