{"title":"超简单虚拟机器人的进化","authors":"D. Ashlock, J. Walker, J. Oliver","doi":"10.1109/IJSIS.1996.565066","DOIUrl":null,"url":null,"abstract":"A genetic algorithm is presented to design virtual robots that perform a variety of different tasks. In all cases the robots are attempt to locate radiative sources. The fitness heuristic, number of sources, and boundary types of the world are varied. In all cases the genetic algorithm produced working designs. Designs are significantly specialized for the varied environments.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Evolution of ultrasimple virtual robots\",\"authors\":\"D. Ashlock, J. Walker, J. Oliver\",\"doi\":\"10.1109/IJSIS.1996.565066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A genetic algorithm is presented to design virtual robots that perform a variety of different tasks. In all cases the robots are attempt to locate radiative sources. The fitness heuristic, number of sources, and boundary types of the world are varied. In all cases the genetic algorithm produced working designs. Designs are significantly specialized for the varied environments.\",\"PeriodicalId\":437491,\"journal\":{\"name\":\"Proceedings IEEE International Joint Symposia on Intelligence and Systems\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Joint Symposia on Intelligence and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJSIS.1996.565066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJSIS.1996.565066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A genetic algorithm is presented to design virtual robots that perform a variety of different tasks. In all cases the robots are attempt to locate radiative sources. The fitness heuristic, number of sources, and boundary types of the world are varied. In all cases the genetic algorithm produced working designs. Designs are significantly specialized for the varied environments.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
