Clone Selection Algorithm Combining Slime Mold Algorithm and Tangent Flight
In view of the fact that the traditional clone selection algorithm may have slow convergence speed and easily fall into the local opti-mal problem,a clone selection algorithm that combines the slime mold algorithm and tangent flight is proposed.Firstly,incorporate the posi-tion updating strategy of the slime mold algorithm to mutate the cloned population,enhancing the global search capability of the clone selec-tion algorithm during the iteration process.Secondly,a curve convergence strategy is proposed to adjust the search ability of the algorithm,thereby improving the convergence speed of the algorithm.Finally,the Tangent flight strategy is utilized to enhance the algorithm's ability to escape from local optima.The proposed strategy was validated by conducting tests on 14 test functions,compared with other intelligent algo-rithms and improved CSA algorithm,and conducted Wilcoxon rank-sum test.The experiments show that the convergence speed and solution accuracy of the algorithm,were improved and verifies the good optimization ability of the improved algorithm.
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