application of new hybrid particle swarm optimization and gravitational search algorithm for non convex economic load dispatch problem

the gravitational search algorithm (gsa) is a novel optimization methodbased on the law of gravity and mass interactions. it has good ability to search forthe global optimum, but its searching speed is really slow in the last iterations. sothe hybridization of particle swarm optimization (pso) and gsa can resolve theaforementioned problem. in this paper, a modified pso, which the movement ofparticles is also based on getting away from individual worst solution other thangoing toward the best ones, is combined with gsa, named (psogsa) and is appliedon eld problem. a 6 unit case study considering transmission loss, prohibitedzones and ramp rate limits and also a 40 unit system with valve point loading effecthas been used to show the feasibility of the method. the results show fast and greatconvergence compared to the many other previously applied methods.