{"title":"模糊蚁群算法在足球机器人优化中的应用","authors":"J. Chiou, Kuo-Yang Wang, M. Shieh","doi":"10.1109/ICINFA.2009.5205008","DOIUrl":null,"url":null,"abstract":"This article provides a theory which is based on the Fuzzy Ant Colony Optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply Ant Colony Optimization to design its routes to avoid obstacles. Afterward, we add Generalized Predictive Control to predict the position which its target might appear at the next sampling time. Our main experiment platform is a simulation machine for FIRA five-to-five soccer robots and MATLAB SIMULATION.","PeriodicalId":223425,"journal":{"name":"2009 International Conference on Information and Automation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The optimization of the application of fuzzy ant colony algorithm in soccer robot\",\"authors\":\"J. Chiou, Kuo-Yang Wang, M. Shieh\",\"doi\":\"10.1109/ICINFA.2009.5205008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article provides a theory which is based on the Fuzzy Ant Colony Optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply Ant Colony Optimization to design its routes to avoid obstacles. Afterward, we add Generalized Predictive Control to predict the position which its target might appear at the next sampling time. Our main experiment platform is a simulation machine for FIRA five-to-five soccer robots and MATLAB SIMULATION.\",\"PeriodicalId\":223425,\"journal\":{\"name\":\"2009 International Conference on Information and Automation\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2009.5205008\",\"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 International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2009.5205008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The optimization of the application of fuzzy ant colony algorithm in soccer robot
This article provides a theory which is based on the Fuzzy Ant Colony Optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply Ant Colony Optimization to design its routes to avoid obstacles. Afterward, we add Generalized Predictive Control to predict the position which its target might appear at the next sampling time. Our main experiment platform is a simulation machine for FIRA five-to-five soccer robots and MATLAB SIMULATION.
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