Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm

Storage is an important part of commodity circulation. a certain amount of material must be stored to meet the needs of social production and consumption within a certain time to maintain the smooth process of social reproduction. this study focuses on warehousing optimization and goods location assignment when electronic products are stored in a stereoscopic storehouse. moreover, this study is based on a theoretical study on genetic algorithm. on the basis of the background of the current warehouse management and cargo distribution of lcm module products warehouse belonging to w company, this study uses the dynamic goods location assignment strategy of stochastic inventory, and builds a multi-objective goods location assignment model of a stereoscopic warehouse. to simplify the calculations and improve the efficiency, we conduct a matlab simulation on the basis of practical data by adopting a modified genetic operator and converting multi-objective optimization by the changing weight coefficient. the adaptive genetic algorithm can be used to make a multi-objective goods location assignment model that efficiently converges to the optimal solution.