Application of Multimodal PSO to Energy Supply Systems

Abstract

In many engineering applications, it is necessary to find more than one solution to an optimization problem with complex multi dimensional objective function. For example, energy supply systems require the most attractive solution in cost but also a solution near to the actual regime among multiple solutions. Metaheuristics is paid to attention as a method for solving such a problem. The parallel searching Niche PSO (Particle Swarm Optimization) algorithm can find multiple solutions in multi dimensional problems in an acceptable time limit. In this paper, we propose the repetitive searching Multi PSO algorithm which is based on PSO and detects more precise solutions in the same time. Furthermore, we show the results of applying Multi PSO and Niche PSO to energy supply systems, and evaluate the validities of these methods.