A modified Shuffled Frog Leaping algorithm for nonconvex Economic Dispatch problem

This paper presents a new approach to Economic Dispatch (ED) problems with nonconvex cost functions using Shuffled Frog Leaping (SFL) algorithm. The practical ED problems have nonconvex cost functions with equality and inequality constraints that makes the problem of finding the global optimum difficult using any optimization approaches. In this paper, the standard SFL is improved to deal with the equality and inequality constraints in the ED problem. To validate the results obtained by proposed SFL, a modified SFL is adopted from the literature and applied for comparison. Also, the results obtained by the SFL algorithms are compared with other approaches reported in the literature. The results show that the proposed SFL produces better solutions for two study systems due to extra diversification provided by the algorithm.