Handbook of Metaheuristics: Edition 3
Michel Gendreau · Jean-Yves Potvin
9/2018 · International Series in Operations Research & Management Science 272. kniha · Springer
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The rst edition of the Handbook of Metaheuristics was published in 2003 under the editorship of Fred Glover and Gary A. Kochenberger. Given the numerous - velopments observed in the eld of metaheuristics in recent years, it appeared that the time was ripe for a second edition of the Handbook. For different reasons, Fred and Gary were unable to accept Springer’s invitation to prepare this second e- tion and they suggested that we should take over the editorship responsibility of the Handbook. We are deeply honored and grateful for their trust. As stated in the rst edition, metaheuristics are “solution methods that orch- trate an interaction between local improvement procedures and higher level stra- gies to create a process capable of escaping from local optima and performing a robust search of a solution space. ” Although this broad characterization still holds today, many new and exciting developments and extensions have been observed in the last few years. We think in particular to hybrids, which take advantage of the strengths of each of their individual metaheuristic components to better explore the solution space. 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 nd high-quality solutions to an ever-growing number of complex, ill-de ned re- world problems, in particular combinatorial ones.
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O autorovi
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.
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