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工程设计学报
工程设计学报  2014, Vol. 21 Issue (4): 334-339    DOI: 10.3785/j.issn. 1006-754X.2014.04.005
建模、分析、优化和决策     
远邻粒子群算法及在Delta机器人优化设计中的应用
辛 儒1, 赵永杰1,2, 何 俊1
1.汕头大学 工学院，广东 汕头 515063；2.汕头轻工装备研究院，广东 汕头 515021
Distant neighborhood PSO algorithm and its application on the optimization design of the Delta robot
XIN Ru1, ZHAO Yong-jie1,2, HE Jun1
1. College of Engineering, Shantou University, Shantou 515063, China;
 2. Shantou Institute for Light Industrial Equipment Research, Shantou 515021, China
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摘要： 为了提高粒子群算法全局寻优能力，提出一种远邻粒子群算法，该算法引入邻域算子概念，每个粒子选择与自身欧氏距离较远的粒子建立邻域，邻域中粒子的数目用邻域算子表示.测试函数实验结果表明，该算法在一定程度上消除了标准粒子群算法容易陷入局部最优的缺点.应用远邻粒子群算法对Delta机器人进行优化设计，结果证实：所提出的远邻粒子群算法较标准粒子群算法具有更好的寻优能力，比邻居递增粒子群算法搜索精度更高.
关键词： 远邻粒子群算法;  邻域算子;  Delta机器人优化设计    
Abstract: In order to improve the global search capability, a distant neighborhood PSO was presented. In the algorithm, each particle had its own neighborhood by selecting particles far away from it in Euclidean distance. Neighborhood operator was adopted to control the number of particles in its neighborhood. Experimental results of benchmark functions indicated that the algorithm eliminated the standard PSO's weakness of easily converging to local optimal value. The distant neighborhood PSO was applied to optimization design of Delta robot. It turns out that the distant neighborhood PSO has better search capability than the standard PSO and higher search precision than neighbors increasing PSO.
Key words: distant neighborhood PSO    neighborhood operator    optimization design of Delta robot
收稿日期: 2014-03-17 出版日期: 2014-08-28
基金资助:

国家自然科学基金资助项目(51375288)；广东省学科建设专项资金资助项目(2013KJCX0075)；汕头市科技计划项目(2013-29).
作者简介: 辛儒(1988—)，男，河北衡水人，硕士生，从事轻工机械设计研究，E-mail: meruxin@163.com.通信联系人：赵永杰，副教授，硕士生导师，E-mail: meyjzhao@stu.edu.cn.
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引用本文:

辛 儒,赵永杰,何 俊. 远邻粒子群算法及在Delta机器人优化设计中的应用[J]. 工程设计学报, 2014, 21(4): 334-339.

XIN Ru, ZHAO Yong-jie, HE Jun. Distant neighborhood PSO algorithm and its application on the optimization design of the Delta robot. Chinese Journal of Engineering Design, 2014, 21(4): 334-339.

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https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn. 1006-754X.2014.04.005    或    https://www.zjujournals.com/gcsjxb/CN/Y2014/V21/I4/334

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