关键词: 天牛须搜索算法, 可变步长, 混沌, 混合算法

Abstract:

Beetle Antennae Search（BAS） is a new intelligent optimization algorithm, which is inspired by the foraging of the beetle. Since it was proposed in 2017, with the deepening of researches on the algorithm by scholars, they have improved the algorithm from many aspects, many variant algorithms of BAS are proposed and the algorithms are widely used in various fields. The paper introduces the search mechanism and optimization steps of BAS algorithm. Combined with domestic and foreign literature, the improvement of the algorithm is analyzed, and the improved algorithm is classified and explained from the search step size, chaos concept, hybrid algorithm and other improvement strategies. At the same time, the algorithm in PID control, electric power dispatching, image processing, neural network, path planning, and other fields are summarized. Finally, combined with algorithm of deficiencies and challenges, from the study of the theory of the BAS algorithm, improved algorithm research and application research on three sides, the content and hot spot of the future research are prospected.

Key words: beetle antennae search, variable step size, chaos, hybrid algorithm