Mine Equipment System Optimization Based on Adaptive Genetic Algorithm

The algorithm model for mine equipment system optimization was proposed on the basis of adaptive genetic algorithm.Multi-parameter cascade symbolic coding,mutation rate and cross rate are adopted.According to group fitness,mutation rate and cross rate with self-adjusting have a better convergence result and global searching ability.The key operators of mutation rate,cross rate etc. in the algorithm model,and its operation steps were explained detailedly.Feasibility of the adaptive genetic algorithm in solving such issues was theoretically analyzed.Mine enterprises can optimize equipment system based on the results of adaptive genetic operation.As a result,the input-output ratio and the mine productivity can be improved effectively.