The performance of some meta-heuristics in continuous problems studied according to the location of the optima in the search space

Abstract:

Many hard optimization problems can only be effectively handled by meta-heuristic methods. Some continuous optimization problems have specific characteristics that demand a particular interest. These features include the location of the optima in a specific region of search space. Hence the main goal of this paper is assessing the performance of some outstanding population-based meta-heuristics on functions with optima on bounds and problems with optima off bounds. It is studied by taking a set of benchmark functions from the field of optimization as a point of departure.

Año de publicación:

2013

Keywords:

• continuous optimization
• Search space bounds
• meta-heuristic

Fuente:

scopus