Нравится LibRing?
Расскажи друзьям:
J.. DrA©o, A. PA©trowski, P. Siarry, E. Taillard

Metaheuristics for Hard Optimization: Methods and Case Studies

Обложка книги Metaheuristics for Hard Optimization: Methods and Case Studies

Книгу можно купить в интернет-магазинах:

· OZON.ru 14604р. [Проверить наличие]
ISBN: 354023022X
Издательство: Springer
Год издания: 2005
Страниц: 369
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 posedA and solution methods are discussed. The last part concentrates onA three case studies from telecommunications, air traffic control, and vehicle routing.