Book Details

Metaheuristics for Hard Optimization

Publication year: 2006

ISBN: 978-3-540-30966-6

Internet Resource: Please Login to download book


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, and 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.


Subject: Mathematics and Statistics, algorithm, algorithms, communication, evolutionary algorithm, genetic algorithms, metaheuristic, modeling, operations research, optimization, programming