An advanced hybrid algorithm for constrained function optimization with engineering applications

An advanced hybrid algorithm (haDEPSO) is proposed in this paper for constrained optimization problems, based on a multi-population approach. It integrated with suggested advanced differential evolution (aDE) and particle swarm optimization (aPSO). In aDE a novel mutation strategy, crossover probability and random nature selection scheme are introduced, to avoid premature convergence. And aPSO consists of novel gradually varying parameters, to...