• A NOVEL HYBRID ANT COLONY OPTIMIZATION AND FIREFLY ALGORITHM FOR MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

Abstract

In this paper, a novel hybrid approach named VEACO-FA for solving multi-objective optimization problems (MOPs) is presented. The proposed approach differs from the traditional ones in its design the vector of colonies associated with the vector of objective functions as well as the inclusion of local search scheme which make the ants move to new rich regions. On the other hand FA is applied to improve the performance of VEACO and to evolve the infeasible individuals until they become feasible. The proposed algorithm is tested on several benchmark problems from the usual literature and the comparisons demonstrate the superiority of the proposed approach and confirm its potential to solve the multi-objective problems.