{"title":"通过人工开发可扩展的n位奇偶校验解决方案","authors":"Tüze Kuyucu, M. Trefzer, J. Miller, A. Tyrrell","doi":"10.1109/RME.2009.5201348","DOIUrl":null,"url":null,"abstract":"The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.","PeriodicalId":245992,"journal":{"name":"2009 Ph.D. Research in Microelectronics and Electronics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A scalable solution to n-bit parity via artificial development\",\"authors\":\"Tüze Kuyucu, M. Trefzer, J. Miller, A. Tyrrell\",\"doi\":\"10.1109/RME.2009.5201348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.\",\"PeriodicalId\":245992,\"journal\":{\"name\":\"2009 Ph.D. Research in Microelectronics and Electronics\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Ph.D. Research in Microelectronics and Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RME.2009.5201348\",\"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 Ph.D. Research in Microelectronics and Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RME.2009.5201348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A scalable solution to n-bit parity via artificial development
The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.