Multi-objective particle swarm optimization using generalized data envelopment anaysis

Abstract

Recently, several meta-heuristic methods such as genetic algorithm and particle swarm optimization have been suggested for solving multi-objective optimization problems. In this paper, we propose so-called ``multi objective particle swarm optimization'' (MO-PSO) using generalized data envelopment analysis, and illustrate the effectiveness of proposed method through some numerical examples.