国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Considering the fact that the original Bird Swarm Algorithm(BSA) in optimizing high-dimensional multi-extreme value easily gets locally optimal solution and premature convergence, an improved algorithm, Levy-Bird Swarm Algorithm(LBSA) is proposed, which is based on Levy flight, a simulation of the birds flying. LBSA replaces the random location changes in the original algorithm by using Levy flight to update the flight locations, which substantially increases the vitality of the location changes, and makes the algorithm more effective. The results of simulation show that the LBSA outperforms the original BSA in optimizing high-dimensional multi-extreme value.