{"title":"w·b·兰登《大白鲨30》","authors":"Malcolm I. Heywood","doi":"10.1007/s10710-023-09473-z","DOIUrl":null,"url":null,"abstract":"<p>At the 30th anniversary of ‘Jaws’, the Genetic programming field has much to celebrate. However, in order continue to build on these successes, it might be necessary to look more deeply into the “less successful” and/or “less explored” topics. We consider the role of <i>FPGA and GPU platforms</i> from the former and <i>coevolution</i> from the latter.</p>","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"25 S2","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"W. B. Langdon “Jaws 30”\",\"authors\":\"Malcolm I. Heywood\",\"doi\":\"10.1007/s10710-023-09473-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>At the 30th anniversary of ‘Jaws’, the Genetic programming field has much to celebrate. However, in order continue to build on these successes, it might be necessary to look more deeply into the “less successful” and/or “less explored” topics. We consider the role of <i>FPGA and GPU platforms</i> from the former and <i>coevolution</i> from the latter.</p>\",\"PeriodicalId\":50424,\"journal\":{\"name\":\"Genetic Programming and Evolvable Machines\",\"volume\":\"25 S2\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetic Programming and Evolvable Machines\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s10710-023-09473-z\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetic Programming and Evolvable Machines","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10710-023-09473-z","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
At the 30th anniversary of ‘Jaws’, the Genetic programming field has much to celebrate. However, in order continue to build on these successes, it might be necessary to look more deeply into the “less successful” and/or “less explored” topics. We consider the role of FPGA and GPU platforms from the former and coevolution from the latter.
期刊介绍:
A unique source reporting on methods for artificial evolution of programs and machines...
Reports innovative and significant progress in automatic evolution of software and hardware.
Features both theoretical and application papers.
Covers hardware implementations, artificial life, molecular computing and emergent computation techniques.
Examines such related topics as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.