Design of Material Transportation Scheduling System Based on Improved Genetic Algorithm

Genetic algorithm has the characteristics of flexible search process, high search efficiency, and implicit parallelism, and has certain advantages in solving optimization problems. Transportation scheduling is a management method that effectively coordinates and arranges materials and processes for transportation to achieve the best transportation efficiency. In order to improve the scientificity of material transportation scheduling, and to address the lack of global control strategies in the iterative process of genetic algorithms themselves, as well as the problem of the optimal values near search points being easily hidden or ignored, this paper improves the standard genetic algorithm by improving the fitness function, applying elite retention strategies, and self adapting cross mutation strategies, and applies the improved results to material transportation scheduling. At the same time, the core functions of the material transportation scheduling system based on improved genetic algorithms have been designed, providing a complete solution for software system development. It is found that the cross probability and variation probability are adjusted adaptively and dynamically according to the fitness value to better balance the relationship between the search range and randomness and diversity. Reasonable scheduling strategy can optimize transportation efficiency, improve transportation quality and safety.