首页|Hybrid Krill Herd Algorithm with Vortex Search for Global Numerical Optimization

Hybrid Krill Herd Algorithm with Vortex Search for Global Numerical Optimization

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In order to solve the problem that the krill herd (KH) algorithm is premature due to the decrease of population diversity,a new hybrid vortex search KH (VSKH) algorithm has been developed to deal with the global optimization problem.The improvement is that a new hybrid vortex search (HVS) operator is added into the updating process of the krill for the purpose of dealing with optimization problems more efficiently.Using 20 benchmark functions for comparison experiments,the results show that the VSKH algorithm has higher accuracy.

krill herd algorithmglobal optimization problemhybrid vortex search operator (HVS)

YANG Jian、WAN Zhongping、PENG Zhenhua

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School of Mathematics and Statistics, Wuhan University,Wuhan 430072, Hubei, China

Supported by the National Natural Science Foundation of ChinaSupported by the National Natural Science Foundation of China

1187138371471140

2020

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

CSTPCDCSCD
影响因子:0.066
ISSN:1007-1202
年,卷(期):2020.25(2)
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