{"title":"RFreak——一个用于进化计算的R包","authors":"Robin Nunkesser","doi":"10.17877/DE290R-14226","DOIUrl":null,"url":null,"abstract":"RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R. In addition, application examples where an evolutionary approach is promising in computational statistics are included and described in this paper. The package is thus further supporting the use of evolutionary computation in computational statistics.","PeriodicalId":10841,"journal":{"name":"CTIT technical reports series","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2008-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"RFreak – an R package for evolutionary computation\",\"authors\":\"Robin Nunkesser\",\"doi\":\"10.17877/DE290R-14226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R. In addition, application examples where an evolutionary approach is promising in computational statistics are included and described in this paper. The package is thus further supporting the use of evolutionary computation in computational statistics.\",\"PeriodicalId\":10841,\"journal\":{\"name\":\"CTIT technical reports series\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CTIT technical reports series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17877/DE290R-14226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CTIT technical reports series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17877/DE290R-14226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RFreak – an R package for evolutionary computation
RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R. In addition, application examples where an evolutionary approach is promising in computational statistics are included and described in this paper. The package is thus further supporting the use of evolutionary computation in computational statistics.