A new multi-objective particle swarm optimization for reactive power dispatch

This paper proposes a new approach of computation using particle swarm in order to resolve multiobjective problems quickly and effectively. This approach is called accelerated multiobjective particle swarm which incorporates vector function as objective function and uses matrix computation to develop the Pareto front unlike the existing multi-objective algorithms which use an external archive. We also propose a novel method of initialization that contributes also in the acceleration of the algorithm. We apply this approach to resolve multi-objective reactive power dispatch problem. Simulations of the proposed algorithm are encouraging for very short CPU time.