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中国物理学会期刊

一个修改的混沌蚁群优化算法

CSTR: 32037.14.aps.62.170501

A modified chaotic ant swarm optimization algorithm

CSTR: 32037.14.aps.62.170501
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  • 本文提出一个用于混沌蚁群优化算法的算法结束条件, 并 将算法结束条件加入混沌蚁群优化算法. 通过数值试验, 验证其有效性. 数值试验表明混沌蚁群优化算法可以得到较高精度 的最优解. 修改的混沌蚁群优化算法可以通过多次混沌搜寻, 逐步逼近最优解, 可以用来求解复杂连续空间优化问题.

     

    This paper proposed a modified chaotic ant swarm optimization under an effective termination condition. Numerical calculation verifies the validity of the modified algorithm. Simulation of the algorithm indicates that the algorithm can have a high-accuracy optimal solution. Through multiple chaotic searches, the modified algorithm gradually approaches the optimal solution which can be used to solve complex continuous domain optimization problem.

     

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