Selective ant colony optimization considering static evaluation

Selective ant colony optimization considering static evaluation
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DOI：
10.1109/iccae.2010.5451842
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发表时间：
2010-04
期刊：
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)
影响因子：
--
通讯作者：
M. Yoshikawa;T. Miyachi
M. Yoshikawa;T. Miyachi
中科院分区：
其他
文献类型：
--
作者：
M. Yoshikawa;T. Miyachi

文献摘要

相似文献

提出了一种选择性蚁群优化算法。该算法引入了互斥机制，利用ACO的静态评估。它不仅减少了计算时间，而且减少了选择步骤的总数，同时保持了解决方案的质量。基准数据的仿真结果证明了该算法的有效性。
This paper discusses an selective ant colony optimization algorithm. The proposed algorithm introduces the exclusive mechanism which utilizes the static evaluation of ACO. It reduces not only the calculation time, but also the total number of steps for the selection, while keeping the quality of solutions. Simulation results using benchmark data prove the validity of the proposed algorithm.