Explorer Variation Salp Swarm Algorithm and Its Application
in view of the low search performance of the salp swarm algorithm,the explorer variation salp swarm algorithm is proposed,which divides the population into three parts:leader,followers and explorers.By improving the update strategy of followers and introduc-ing the explorer variation mechanism,the search performance of the algorithm is improved.Numerical experiments show that the search speed and accuracy of this algorithm are signif-icantly higher than the basic algorithm and the algorithm in the literature.The algorithm is applied to the pressure vessel design problem for parameter optimization,and the optimal cost is significantly improved.
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