| 基于改进遗传算法的刨头多目标优化设计 |
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| 引用本文： | 毛君,郝志勇. 基于改进遗传算法的刨头多目标优化设计[J]. 微计算机信息, 2011, 0(8) |
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| 作者姓名： | 毛君 郝志勇 |
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| 作者单位： | 辽宁工程技术大学机械工程学院; |
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| 基金项目： | 辽宁省教育厅高等学校科研项目计划资助(2010); 辽宁省煤矿安全生产技术指导性计划项目(2009); 辽宁工程技术大学科研启动基金; 2009年度中国煤炭工业科技计划项目(MTKJ2009-265) |
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| 摘 要： | 针对刨煤机和装载均匀问题,基于改进遗传算法的多目标优化策略,对刨头刨削参数和运动参数进行优化设计。优化结果表明,刨削能耗降低16.96%,生产能力提高23.38%,装载断面均匀程度提高16.62%,刨煤机的生产能力得到显著提高,比能耗得到显著降低,有效降低了刨煤机的能耗。
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| 关 键 词： | 改进遗传算法 能耗 刨煤机 刨头 多目标优化 |
Multi-objective optimization design for plow body based on improved genetic algorithm |
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| MAO Jun HAO Zhi-yong. Multi-objective optimization design for plow body based on improved genetic algorithm[J]. Control & Automation, 2011, 0(8) |
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| Authors: | MAO Jun HAO Zhi-yong |
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| Affiliation: | MAO Jun HAO Zhi-yong(College of Mechanical Engineering,Liaoning Technical University,Fuxin,123000,China) |
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| Abstract: | In view of the coal plow of the load and energy consumption question,optimizaed 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. |
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| Keywords: | improved genetic algorithm energy consumption coal plow plow body multi-objective optimization |
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