Multi-objective Optimization Design for Plow Body Based on Improved Genetic Algorithm and Fuzzy Theory

In view of the coal plow of the load and energy consumption question, optimized the cutting and parameter movement for plow body of on improved genetic algorithm multi-objective optimization strategy. The optimized results indicate that the cutting consumption reduces 16.96%, productivity capability rises 23.38%, loading area uniformity rises 16.62%, productivity capability of coal plow obtains obviously rise, and cutting energy consumption of plow body are reduced.