Modified particle swarm optimization using simplex search method for multiobjective economic emission dispatch problem

This paper presents the hybridization of particle swarm optimization (PSO) with simplex search method (SM). SM is a deterministic method which is generally used for the local search and PSO is a stochastic population based method used for global search. Thus, this paper combines the advantage of both the methods to refine the solution. Base level search is done using PSO and finally local search is done through SM to improve the overall quality of results obtained. The proposed approach is tested on multiobjective economic emission load dispatch problem and the results obtained are then compared with other available methods to show its quality and robustness. Price penalty factor method is further used to convert this multiobjective optimization problem into single objective problem. Multifuel options, valve point loading effect and transmission losses are also included in the load dispatch problem to give the practical aspect to the problem. Quality analysis is also done against classical PSO method to show the robustness of the proposed method.