An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently

作者：Lei Wu^*; Xiao Wensheng; Liang Zhang; Qi Liu; Wang Jingli

来源：International Journal of Computational Intelligence Systems, 2016, 9(1): 80-90.

DOI：10.1080/18756891.2016.1144155

• fruit fly optimization algorithm
• intelligent selection
• the best search direction
• benchmark functions
• experimental simulation

As a novel global optimization algorithm, the fruit fly optimization algorithm FOA has been successfully applied in a variety of mathematic and engineering fields. For the purpose of accelerating the convergence speed and overcoming the shortcomings of FOA, an improved fruit fly optimization called SEDI-FOA was proposed in this paper. In the proposed SEDI-FOA, more fruit flies would fly in the search direction that was best for finding the optimal solution, or at least in a direction close to the optimal direction. Experiments were conducted on a set of 12 benchmark functions, and the results showed that SEDI-FOA performed better than other several improved FOA and frequently-used intelligence algorithms, especially in the areas of accelerating convergence and global search ability and efficiency.

• 出版日期2016
• 单位中国石油大学（北京）