科研之友
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摘要
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.
- 出版日期2013
- 单位南京理工大学
