{"title":"基于粒子群优化的集体运动主体自组织:定性分析","authors":"Armando Serrato Barrera, A. López-López, G. Gómez","doi":"10.1109/CONIELECOMP.2011.5749342","DOIUrl":null,"url":null,"abstract":"Collective behavior of flocks, herds and schools of fish has been modeled by several approaches in the last decades. In recent years, similar behavior has been obtained by using a simple model based on particle swarm optimization algorithm (PSO). In this article we provide a qualitative analysis of this approach. We also compare it with classical models based on Reynolds rules and potential functions schemes. Furthermore, implementation details and simulation results are given. The final goal of this study is to model multi-target flocking using PSO approach. We provide a general overview of how we envision this.","PeriodicalId":432662,"journal":{"name":"CONIELECOMP 2011, 21st International Conference on Electrical Communications and Computers","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Self-organization of agents for collective movement based on particle swarm optimization: A qualitative analysis\",\"authors\":\"Armando Serrato Barrera, A. López-López, G. Gómez\",\"doi\":\"10.1109/CONIELECOMP.2011.5749342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collective behavior of flocks, herds and schools of fish has been modeled by several approaches in the last decades. In recent years, similar behavior has been obtained by using a simple model based on particle swarm optimization algorithm (PSO). In this article we provide a qualitative analysis of this approach. We also compare it with classical models based on Reynolds rules and potential functions schemes. Furthermore, implementation details and simulation results are given. The final goal of this study is to model multi-target flocking using PSO approach. We provide a general overview of how we envision this.\",\"PeriodicalId\":432662,\"journal\":{\"name\":\"CONIELECOMP 2011, 21st International Conference on Electrical Communications and Computers\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CONIELECOMP 2011, 21st International Conference on Electrical Communications and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONIELECOMP.2011.5749342\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CONIELECOMP 2011, 21st International Conference on Electrical Communications and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIELECOMP.2011.5749342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-organization of agents for collective movement based on particle swarm optimization: A qualitative analysis
Collective behavior of flocks, herds and schools of fish has been modeled by several approaches in the last decades. In recent years, similar behavior has been obtained by using a simple model based on particle swarm optimization algorithm (PSO). In this article we provide a qualitative analysis of this approach. We also compare it with classical models based on Reynolds rules and potential functions schemes. Furthermore, implementation details and simulation results are given. The final goal of this study is to model multi-target flocking using PSO approach. We provide a general overview of how we envision this.