An intelligent algorithm: MACO for continuous optimization models

Authors:
Yuanguo Zhu
Affiliations:
Department of Applied Mathematics, Nanjing University of Science and Technology, Nanjing, Jiangsu, China
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2013

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Abstract

Ant colony optimization algorithm is a metaheuristic approach for the solutions of combinatorial optimization problems. In order to solve continuous optimization models, a new intelligent algorithm MACO combining a mutation ant colony optimization algorithm and a simulated annealing method is designed. Experiments and comparison with other metaheuristic methods by some test functions are shown the effectiveness of the proposed algorithm.