Software Implementation of Genetic Algorithm for Optimization of Cargo Placement in the Conditions of limited Warehouse Space

In this paper, we propose a software implementation to solve the mathematical problem of optimal placement of cargo units on the territory of a multimodal transport and logistics center. Warehouse management in intermodal and multimodal transportation is complicated by the problem of selecting an assortment of cargo in conditions of limited storage space. The solution to this problem should be mathematically correct, automatizable, and scalable, since different types of warehouses and different transport systems are concentrated in the territory of multimodal transport and logistics centers. We propose to apply the genetic algorithm as a mathematical apparatus for solving the above problem and a ready-made software implementation for the optimal placement of cargo units. The algorithm determines the optimal subset of cargo units that can be placed in the warehouse taking into account the weight and value priority constraints of the selected cargo units.