Through the analysis of the data, using the A-branching factor analysis the different behaviors of ant system algorithm and improved algorithm in different parameters sets. verified the optimization of the search behavior through the use of the candidate list.

  • 通过对仿真实验数据的分析,使用λ-分支因子法分析了基本蚁群算法与改进算法在不同的参数设置下的搜索行为的差异,验证了候选列表对于算法搜索行为的优化。

  • 互联网摘选 2025-01-20 11:59:01

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