Title :
Multi-objective Optimization Design for Plow Body Based on Improved Genetic Algorithm and Fuzzy Theory
Author :
Jun, Mao ; Yong, Hao Zhi
Author_Institution :
Coll. of Mech. Eng., Liaoning Tech. Univ., Fuxin, China
Abstract :
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.
Keywords :
design engineering; energy consumption; fuzzy set theory; genetic algorithms; mining equipment; mining industry; cutting consumption; energy consumption; fuzzy theory; genetic algorithm; multiobjective optimization design; plow body design; Coal; Energy consumption; Face; Genetic algorithms; Loading; Optimization; Production; coal plow; energy consumption; improved genetic algorithm; multi-objective optimization; plow body;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.567
