关键词: 烟花算法, 信息交流, 灰色关联算子, 指导粒子

Abstract: Due to the defect of the particle update mechanism in the fireworks algorithm, there is a lack of information exchange between particles in the optimization process, which makes the algorithm’s ability to search for optimization weak and the accuracy of search results to be low. In order to improve the defects, a fireworks algorithm with gray correlation operator（GFA） is proposed. GFA uses the grey correlation operator to select a guidance particle for each particle, and updates their own dimension information to improve the optimization ability. The improved algorithm is tested on standard functions. The results show that GFA has better optimization accuracy and convergence speed.

Key words: fireworks algorithm, information exchange, grey correlation operator, guiding particle