{"title":"上下文块在机器人形态进化遗传规划中的应用","authors":"M. Gregor, J. Spalek, J. Capak","doi":"10.1109/ELEKTRO.2012.6225655","DOIUrl":null,"url":null,"abstract":"The paper explores application of genetic programming to evolution of robot morphology, and co-evolution of morphology and low-level control. Extensions to standard genetic programming are presented that allow for straight-forward storage, retrieval, transfer, modification of data stored in the context of a syntactic tree, and shared by multiple nodes. These extensions are used to embed a genetic algorithm within the genetic programming approach to evolve values of constants. Experimental results are presented and evaluated.","PeriodicalId":343071,"journal":{"name":"2012 ELEKTRO","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Use of context blocks in genetic programming for evolution of robot morphology\",\"authors\":\"M. Gregor, J. Spalek, J. Capak\",\"doi\":\"10.1109/ELEKTRO.2012.6225655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper explores application of genetic programming to evolution of robot morphology, and co-evolution of morphology and low-level control. Extensions to standard genetic programming are presented that allow for straight-forward storage, retrieval, transfer, modification of data stored in the context of a syntactic tree, and shared by multiple nodes. These extensions are used to embed a genetic algorithm within the genetic programming approach to evolve values of constants. Experimental results are presented and evaluated.\",\"PeriodicalId\":343071,\"journal\":{\"name\":\"2012 ELEKTRO\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 ELEKTRO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELEKTRO.2012.6225655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 ELEKTRO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO.2012.6225655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of context blocks in genetic programming for evolution of robot morphology
The paper explores application of genetic programming to evolution of robot morphology, and co-evolution of morphology and low-level control. Extensions to standard genetic programming are presented that allow for straight-forward storage, retrieval, transfer, modification of data stored in the context of a syntactic tree, and shared by multiple nodes. These extensions are used to embed a genetic algorithm within the genetic programming approach to evolve values of constants. Experimental results are presented and evaluated.