Particle swarm optimization combining diversification and intensification through complex networks for nonlinear programming problems

This paper presents a new particle swarm optimization method through the concept of complex networks for nonlinear programming problems. The purpose of this paper is to clarify the impact of the network structure between individuals on the solution performance. Realizing diversification and intensification of search processes, a new solution method using the ideas of complex networks is introduced. Illustrative numerical examples are provided to demonstrate the feasibility and efficiency of the proposed method.