{"title":"基于遗传算法和模拟退火优化方法的2自由度并联微型机器人工作空间优化","authors":"S. Stan, V. Maties, R. Balan","doi":"10.1109/ARSO.2007.4531418","DOIUrl":null,"url":null,"abstract":"In this paper a mono-objective optimum design procedure for parallel robot is outlined by using optimality criterion of workspace and numerical aspects. A mono- objective optimization problem is formulated by referring to a basic performance of parallel robots. Additional objective functions can be used to extend the proposed design procedure to more general but specific design problems. A kinematic optimization was performed to maximize the workspace of the mini parallel robot. Optimization was performed using genetic algorithms and simulated annealing optimization methods.","PeriodicalId":344670,"journal":{"name":"2007 IEEE Workshop on Advanced Robotics and Its Social Impacts","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimization of workspace of a 2 DOF parallel minirobot using Genetic Algorithms and Simulated Annealing optimization methods\",\"authors\":\"S. Stan, V. Maties, R. Balan\",\"doi\":\"10.1109/ARSO.2007.4531418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a mono-objective optimum design procedure for parallel robot is outlined by using optimality criterion of workspace and numerical aspects. A mono- objective optimization problem is formulated by referring to a basic performance of parallel robots. Additional objective functions can be used to extend the proposed design procedure to more general but specific design problems. A kinematic optimization was performed to maximize the workspace of the mini parallel robot. Optimization was performed using genetic algorithms and simulated annealing optimization methods.\",\"PeriodicalId\":344670,\"journal\":{\"name\":\"2007 IEEE Workshop on Advanced Robotics and Its Social Impacts\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Workshop on Advanced Robotics and Its Social Impacts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARSO.2007.4531418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Workshop on Advanced Robotics and Its Social Impacts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO.2007.4531418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of workspace of a 2 DOF parallel minirobot using Genetic Algorithms and Simulated Annealing optimization methods
In this paper a mono-objective optimum design procedure for parallel robot is outlined by using optimality criterion of workspace and numerical aspects. A mono- objective optimization problem is formulated by referring to a basic performance of parallel robots. Additional objective functions can be used to extend the proposed design procedure to more general but specific design problems. A kinematic optimization was performed to maximize the workspace of the mini parallel robot. Optimization was performed using genetic algorithms and simulated annealing optimization methods.
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