Shuffled frog leaping algorithm
based on trigonometric search factor

CHANG Xiaogang，ZHAO Hongxing

（Modern Information Technology and Education Center,Lanzhou Jiaotong University,Lanzhou

730070,China）

Received:2015-07-15 Revised:2015-11-27 Online:2016-11-25 Published:2016-11-25

Abstract:

To solve the problems of slow convergence, easily falling into local optimum and low

optimization precision of the shuffled frog leaping algorithm (SFLA), we propose a shuffled

frog leaping algorithm based on trigonometric functions search factor (TSFSFLA). The

algorithm introduces the local evolution and global search updating policies based on the

triangle function search factor to the SFLA to improve its local search capability and

precision. Experimental results show that the TSFSFLA can significantly improve the

optimization accuracy and convergence speed of the SFLA, and it has a better optimization

capability and stability.

Key words: shuffled frog leaping algorithm, trigonometric function, search factor

CHANG Xiaogang，ZHAO Hongxing.

Shuffled frog leaping algorithm

based on trigonometric search factor

[J]. Computer Engineering & Science.

[1]	WANG Lin1,WAN Xiao-yu1,WAN Jian-chao2. A hybrid differential shuffled frog leaping algorithm based on selection strategy [J]. Computer Engineering & Science, 2018, 40(01): 121-127.
[2]	DAI Yue-ming,ZHANG Ming-ming,WANG Yan. A coevolutionary shuffled frog leaping algorithm [J]. Computer Engineering & Science, 2018, 40(01): 139-147.
[3]	PANG Kai-li，LIANG Xi-ming. A hybrid SFLA algorithm based on conjugate gradient method [J]. Computer Engineering & Science, 2017, 39(10): 1958-1965.
[4]	WANG Lianguo1,2，GONG Yaxing2. A single population shuffled frog leaping algorithm [J]. J4, 2014, 36(03): 463-468.
[5]	ZHANG Youhua1，WANG Lianguo2. Parameter identification of load model based on an improved shuffled frog leaping algorithm [J]. J4, 2013, 35(6): 180-185.

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