A Multi Start Great Deluge metaheuristic for engineering design problems

摘要

The Great Deluge (GD) metaheuristic is general, powerful and easily implemented, it is derived from Simulated Annealing (SA). In this paper, a Multi Start Great Deluge (MSGD) method is proposed and applied to optimize engineering design problems. The MSGD approach uses the GD algorithm to intensify search and employ the Multi Start technique to diversify the workspace. By computer simulations, it is shown that the performance of the proposed algorithms MSGD is better than the previous simulated annealing and genetic algorithm.