An improved niche ant colony algorithm for multi-modal function optimization

In this paper, to overcome the premature defect of traditional ant colony algorithm, a new improved niche ant colony algorithm (niche ant colony algorithm based on the fitness sharing principle) is proposed by combining the fitness sharing method with niche ant colony algorithm and applied to the multi-modal function optimization problem. The comparison between the results obtained by the improved niche ant colony algorithm (INACA) and the results found by traditional ant colony algorithm(ACA) and niche genetic algorithm(NGA) shows that the former has higher effectiveness and superiority in global optimization.