摘要

文章针对天牛须算法(BAS)后期收敛速度慢、寻优精度低的缺点,提出了一种融入倒位变异的天牛须算法。文章基于基本的天牛须算法,将倒位变异融入到天牛须算法中,帮助算法跳出局部最优,并给出了该算法求解旅行商问题的详细执行过程。最后,为了验证新算法的有效性,使用标准TSP库中的实例对提出的算法的性能进行了实证评估。结果表明文章对天牛须算法的改进是合理的。

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Comparing Problem Solving Strategies for NP-hard Optimization Problems
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Fundamenta Informaticae, 2013, 124(1-2): 1-25.

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An improved strategy to solve shop deadlock problem based on the study on existing benchmark recovery strategies
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Location routing problem with outsourcing strategy [联合配送外包策略的定位运输问题]
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Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies
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