关键词: 矿用物资, 遗传算法, 装载模型, 运输配送

Abstract: To enhance internal market management level in mine enterprise，and improve the storage and transportation efficiency of mining material，the research on optimizing loading pattern is a very important technical link.Based on the research of the assembly issue of mining scattered goods，the goal of goods distributing to maximize the economic benefit，considering the constraints of effective volume and burden quantity of vehicle，the mathematical model is established based on optimization method to solve，and the case is studied by introducing genetic algorithms on simulating biological evolution.The application results show that genetic algorithms have the advantages of fast convergence and high calculation accuracy in the course of solving optimal plan of mining equipment loading.Genetic algorithm is suitable to solve the multi-constraints problem because of its good adaptability and powerful search performance.The research in this paper is helpful to lift the efficiency of mining scattered material，and then，promote management benefit for the material management department in mine enterprise.

Key words: Mining material, Genetic algorithms, Loading model, Transportation and distribution