基于文化的连续蚂蚁优化算法的研究*

针对蚂蚁优化算法在求解连续空间问题方面的缺陷，提出一种基于文化的连续蚂蚁优化算法。该算法将蚂蚁优化算法纳入文化算法的框架，组成基于蚂蚁优化算法的主群体和信念的两大空间。在知识和群体层面使用双重进化机制支持问题的求解和知识的提取，从而充分利用精英蚂蚁所携带的特征信息，在很大程度上提高了收敛速度，增强了搜索的多样性。实验结果表明，该算法求解速度快、寻优成功率高，是一种提高蚂蚁优化算法性能的有效算法。

Research on cultural continuous ant colony optimization algorithm

In order to deal with the continuous optimization problems that exist in the ant colony optimization algorithm,this paper proposed a continuous ant colony optimization algorithm based on cultural algorithm(CCACO). This algorithm embedded ACO into the cultural algorithm framework and composed an algorithm with ACO main population space and belief space. Adopted double-evolutionary mechanism is by knowledge and colony support to solve problem and extract knowledge. It is important to make full use of characte...