An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently
作者： Lei Wu , Wensheng Xiao , Liang Zhang , Qi Liu , Jingli Wang
DOI: 10.1080/18756891.2016.1144155
关键词:
摘要: AbstractAs a novel global optimization algorithm, the fruit fly algorithm FOA has been successfully applied in variety of mathematic and engineering fields. For purpose accelerating convergence speed overcoming shortcomings FOA, an improved called SEDI-FOA was proposed this paper. In SEDI-FOA, more flies would search direction that best for finding optimal solution, or at least close to direction. Experiments were conducted on set 12 benchmark functions, results showed performed better than other several frequently-used intelligence algorithms, especially areas ability efficiency.
sci-hub.se 参考文章(21)
Jinwei Niu, Weimin Zhong, Yi Liang, Na Luo, Feng Qian, Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization Knowledge-Based Systems. ,vol. 88, pp. 253- 263 ,(2015) , 10.1016/J.KNOSYS.2015.07.027
Xiaofang Yuan, Yuanming Liu, Yongzhong Xiang, Xinggang Yan, Parameter identification of BIPT system using chaotic-enhanced fruit fly optimization algorithm Applied Mathematics and Computation. ,vol. 268, pp. 1267- 1281 ,(2015) , 10.1016/J.AMC.2015.07.030
Xue Tian, Jingli Wang, Wensheng Xiao, Lei Wu, Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms Mathematical Problems in Engineering. ,vol. 2015, pp. 1- 9 ,(2015) , 10.1155/2015/146902
Hongde Dai, Aili Liu, Jianhua Lu, Shaowu Dai, Xiaonan Wu, Yuyu Sun, Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm Optik. ,vol. 126, pp. 490- 493 ,(2015) , 10.1016/J.IJLEO.2014.08.037
Su-Mei Lin, Analysis of service satisfaction in web auction logistics service using a combination of Fruit fly optimization algorithm and general regression neural network Neural Computing and Applications. ,vol. 22, pp. 783- 791 ,(2013) , 10.1007/S00521-011-0769-1
Hong-ze Li, Sen Guo, Chun-jie Li, Jing-qi Sun, A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm Knowledge-Based Systems. ,vol. 37, pp. 378- 387 ,(2013) , 10.1016/J.KNOSYS.2012.08.015
Ling Wang, Xiao-long Zheng, Sheng-yao Wang, A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem Knowledge Based Systems. ,vol. 48, pp. 17- 23 ,(2013) , 10.1016/J.KNOSYS.2013.04.003
Lin Wang, Yuanlong Shi, Shan Liu, An improved fruit fly optimization algorithm and its application to joint replenishment problems Expert Systems With Applications. ,vol. 42, pp. 4310- 4323 ,(2015) , 10.1016/J.ESWA.2015.01.048
Jun-qing Li, Quan-ke Pan, Kun Mao, P.N. Suganthan, Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm Knowledge-Based Systems. ,vol. 72, pp. 28- 36 ,(2014) , 10.1016/J.KNOSYS.2014.08.022
Wen-Tsao Pan, Using modified fruit fly optimisation algorithm to perform the function test and case studies Connection Science. ,vol. 25, pp. 151- 160 ,(2013) , 10.1080/09540091.2013.854735