Economic Load Dispatch by Hybrid Swarm Intelligence Based Gravitational Search Algorithm

This paper presents a novel heuristic optimization method to solve complex economic load dispatch problem using a hybrid method based on particle swarm optimization (PSO) and gravitat ional search algorithm (GSA). Th is algorith m named as hybrid PSOGSA co mbines the social th inking feature in PSO with the local search capability o f GSA. To analyze the performance of the PSOGSA algorithm it has been tested on four different standard test cases of different dimensions and comp lexity levels arising due to practical operating constraints. The obtained results are co mpared with recently reported methods. The comparison confirms the robustness and efficiency of the algorithm over other existing techniques.