关键词: 自动化立体仓库, 细菌觅食算法, 步长自适应调节, 种群多样性

Abstract: For automated warehouse area allocation optimization problem,an average run time model of stacker was built.To get its optimal solution,an improved bacterial foraging algorithm was proposed.In the process of warehouse area allocation optimization,chemotactic stepsize was adjusted adaptively based on current global and local optimal.The elimination and dispersal probability of individual bacteria was set according to the level of contributing to diversity of population simultaneously.It not only enhanced the convergence efficiency,but also ensured the global optimization.The basic bacterial foraging algorithm and genetic algorithm was compared through the industrial real case,and the results showed that the proposed algorithm achieved better performance in terms of the solution quality and the convergence efficiency.

Key words: automated warehouse, bacterial foraging algorithm, adaptive stepsize, population diversity