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Metaheuristics for Hard Optimization

	Author(s):	Johann Dréo, Alain Pétrowski, Patrick Siarry, Eric Taillard, A. Chatterjee
	Collection:
	Publisher:	Springer
	Year:	2005
	Language:	English
	Pages:	372 pages
	Size:	4.46 MB
	Extension:	PDF

[tab] [content title="Description"]Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of the four most widely known metaheuristics: • the simulated annealing method, • tabu search, • the evolutionary algorithms, • ant colony algorithms. Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed. In the second part, the book presents some other less widespread metaheuristics, then, extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed. The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing. [/content] [content title="Content"] [/content] [content title="About the author"]Johann Dréo Ph.D. in Biomedical Engineering Université Paris Val-de-Marne (Intelligent Systems lab.) Bio-inspired Artificial Intelligence [/content] [/tab]

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