Multiobjective methods using metaheuristics

Metaheuristics, as stated in the preface, are general optimization methods dedicated to “hard optimization” problem [Sait et al. 99]. These methods are, in general, presented as concepts. As we shall see later, they are sometimes based on ideas that we can find in everyday life. The main metaheuristics are simulated annealing, tabu search and genetic algorithms.