Author(s)

Yang Lvqing, Liu Weiwei, Bai Youjing

Corresponding Author

Liu Weiwei

ABSTRACT

Based on the linear adaptive genetic algorithms presented by Srinivas M, this paper improves the algorithm from the representation of the population diversity, proposing a new adaptive genetic algorithm; According to the basic principle of warehousing and the status of inventory, we summarize the storage location selection as a problem of multi-objective optimization, and establish a corresponding mathematical model; Using the improved algorithm to solve the storage location model indicates that the algorithm can better work out the problem of warehousing and the best location, which proves the validity of the algorithm

KEYWORDS

storage efficiency,slotting optimization,the improved adaptive genetic algorithm,multi- objective optimization