By Johann Dréo, Professor Patrick Siarry, Alain Pétrowski, Professor Eric Taillard (auth.)

ISBN-10: 354023022X

ISBN-13: 9783540230229

ISBN-10: 3540309667

ISBN-13: 9783540309666

Metaheuristics for demanding Optimization includes of 3 components. the 1st half is dedicated to the designated presentation of the 4 most generally recognized metaheuristics:

• the simulated annealing method,

• tabu search,

• the evolutionary algorithms,

• ant colony algorithms.

Each the sort of metaheuristics is de facto a relatives of tools, of which the basic components are mentioned. within the moment half, the booklet offers another much less frequent metaheuristics, then, extensions of metaheuristics and a few methods of analysis are defined . the matter of the alternative of a metaheuristic is posed and resolution equipment are mentioned. The final half concentrates on 3 case stories from telecommunications, air site visitors keep watch over, and car routing.

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Additional info for Metaheuristics for Hard Optimization: Simulated Annealing, Tabu Search, Evolutionary and Genetic Algorithms, Ant Colonies,… Methods and Case Studies

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To finish, we will mention some specific problems, in very diverse fields, where simulated annealing was employed successfully: organization of the data-processing network for the French Loto (it required ten thousand playing machines to be connected to host computers), optimization of the collection of the household garbage in Grenoble, timetable problems (the problem was, for example, to determine the optimal planning of the rest days in a hospital), optimization in architecture (in a project on constructing a 17 floor building for an insurance company, it was necessary to distribute the activities among the various parts, so that the work output from 2000 employees can be maximized).

1993]. In this chapter, we shall not concentrate on the more advanced principles of tabu search, such as those presented in the book of Fred Glover and Manuel Laguna [Glover and Laguna, 1997], but we shall focus on the most significant and most general principles. Here, it should be mentioned that sometimes another author is credited with the original ideas of tabu search. However in our opinion the claim for such an attribution is abusive: no written document presenting those ideas could ever be obtained, they were only presented in front of a very small audience during a congress in 1986 and, according to what we have heard about the presentation, it comprised of a very limited subset of the basic ideas published earlier by Glover.

The restoration of an image using an iterative method involves, under normal circumstances, the treatment of a large number of variables. Hence it calls for development of a suitable method, which can limit the computing time of the operation. Based on the local features of the information contained in an image, several authors proposed numerous structures and algorithms specifically addressed to carry out calculations in parallel. Empirically, it appears that the simulated annealing method should be particularly well suited for this task.

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Metaheuristics for Hard Optimization: Simulated Annealing, Tabu Search, Evolutionary and Genetic Algorithms, Ant Colonies,… Methods and Case Studies by Johann Dréo, Professor Patrick Siarry, Alain Pétrowski, Professor Eric Taillard (auth.)


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