The quality and accuracy of solution of original predatory search algorithm is not high on the TSP problem and it is easy to fall into local optimum. So this algorithm is introduced variations to make original predatory search algorithm can jump out of local optimum, By the simulation of four commonly used TSP problem, the results showed that the new algorithm had been significantly increased in the solution quality and accuracy than the original predatory search algorithm.
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姚世伟. 带变异特征的捕食搜索算法及其在TSP问题的实验研究[J]. 科学技术与工程, 2011, (27): . YaoShiwei. The predatory search algorithm based on variability and its experimental on TSP problem[J]. Science Technology and Engineering,2011,(27).