A Novel Hybrid Ant Colony Optimization and Firefly Algorithm for Solving Constrained Engineering Design Problems
Ahmed El-Sawy, Elsayed M. Zaki, Rizk M. Rizk‐Allah · Journal of Natural Sciences and Mathematics · 2013
Abstract. This paper proposes ACO-FFA for constrained optimization problems, which incorporates the concepts from ant colony optimization (ACO) and firefly algorithm (FFA). The methodology of the proposed algorithm is introduced based on a parallel mechanism of ACO and FFA for updating the solutions of ACO-FFA. Moreover, the evolutions of these solutions are performed by using feasibility rule that maintain the solutions with lower degrees of constraint violations. The proposed algorithm ACO-FFA is tested on several benchmark functions. The comparisons show that ACO-FFA outperforms or performs similarly to state-of-the-art approaches in terms of the quality of the resulting solutions.