基于遗传算法的柔性机械臂结构优化设计

Ling-li Cui, Zhi-quan Xiao
{"title":"基于遗传算法的柔性机械臂结构优化设计","authors":"Ling-li Cui, Zhi-quan Xiao","doi":"10.1109/ITSC.2003.1252758","DOIUrl":null,"url":null,"abstract":"This paper addresses the issues related to the design of optimum structure for lightweight, flexible manipulators under the total weight constraint. The optimum design problem is formulated by establishing a mathematical model of flexible manipulator based on the finite difference method, the optimal solution is obtained by using an improved real-code genetic algorithms (GA). Numeric simulation has been conducted and the results have demonstrated the effectiveness of the proposed method.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Optimum structure design of flexible manipulators based on GA\",\"authors\":\"Ling-li Cui, Zhi-quan Xiao\",\"doi\":\"10.1109/ITSC.2003.1252758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the issues related to the design of optimum structure for lightweight, flexible manipulators under the total weight constraint. The optimum design problem is formulated by establishing a mathematical model of flexible manipulator based on the finite difference method, the optimal solution is obtained by using an improved real-code genetic algorithms (GA). Numeric simulation has been conducted and the results have demonstrated the effectiveness of the proposed method.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

本文研究了总重约束下轻量化柔性机械臂的优化结构设计问题。基于有限差分法建立柔性机械臂的优化设计数学模型,采用改进的实数遗传算法求解柔性机械臂的优化设计问题。数值仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimum structure design of flexible manipulators based on GA
This paper addresses the issues related to the design of optimum structure for lightweight, flexible manipulators under the total weight constraint. The optimum design problem is formulated by establishing a mathematical model of flexible manipulator based on the finite difference method, the optimal solution is obtained by using an improved real-code genetic algorithms (GA). Numeric simulation has been conducted and the results have demonstrated the effectiveness of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信