Multi-objective optimization design for plow body based on improved genetic algorithm and fuzzy theory

摘要：

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.

关键词： improved genetic algorithm, energy consumption coal plows plow body multi-objective optimization

作者: MAO Jun HAO ZhiYong

作者单位: College of Mechanical Engineering. Liaoning Technical University,Fuxin,123000,China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 1126-1129

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）