{"title":"基于粒子群惯性权的隶属函数拟合货车后置问题","authors":"S. Hashim, K. E. Permana","doi":"10.1109/AMS.2009.131","DOIUrl":null,"url":null,"abstract":"In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simulation conducted,it shows that the FPSOw is able to generate an optimal set of parameter for the fuzzy membership functions automatic adjustment and then the adjusted fuzzy system achieve better position for Truck Backer-Upper result.","PeriodicalId":6461,"journal":{"name":"2009 Third Asia International Conference on Modelling & Simulation","volume":"7 1","pages":"25-28"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fitting Membership Function with PSO Inertia Weight for Truck Backer-Upper Problem\",\"authors\":\"S. Hashim, K. E. Permana\",\"doi\":\"10.1109/AMS.2009.131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simulation conducted,it shows that the FPSOw is able to generate an optimal set of parameter for the fuzzy membership functions automatic adjustment and then the adjusted fuzzy system achieve better position for Truck Backer-Upper result.\",\"PeriodicalId\":6461,\"journal\":{\"name\":\"2009 Third Asia International Conference on Modelling & Simulation\",\"volume\":\"7 1\",\"pages\":\"25-28\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third Asia International Conference on Modelling & Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMS.2009.131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third Asia International Conference on Modelling & Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2009.131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fitting Membership Function with PSO Inertia Weight for Truck Backer-Upper Problem
In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simulation conducted,it shows that the FPSOw is able to generate an optimal set of parameter for the fuzzy membership functions automatic adjustment and then the adjusted fuzzy system achieve better position for Truck Backer-Upper result.
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