Multi-objective differential-based brain storm optimization for environmental economic dispatch problem

Abstract

Environmental Economic Dispatch (EED) problem has been paid more attention in recent years as it can save the cost of the fuel while reducing the environmental pollution. A novel Multi-objective Differential Brain Storm Optimization (MDBSO) algorithm is proposed to solve EED problem in this chapter. Different from the classical BSO, the clustering operation is designed in the objective space instead of solution space to improve the computing efficiency. The difference mutation operation is also adopted in the proposed algorithm to replace the Gaussian mutation in the original BSO algorithm for increasing the diversity of the population and improving the speed of convergence. The performance of the proposed algorithm is verified by two test systems with 6 units and 40 units in the literature. The simulation results show that comparing with other intelligent optimization method, MDBSO can maintain the diversity of Pareto optimal solutions and show better convergence at the same time.