Nonlinear programming through particle swarm optimization combining diversification and intensification with complex networks

Abstract

Particle swarm optimization (PSO) is an approximate solution method supposed that a network exists. In this research, focusing on nonlinear programming problems, we improve PSO introducing complex networks. Furthermore, we show the efficiency of the proposed PSO method by comparing it with an existing method through the application of them into the numerical examples.