{"title":"进化计算的统计分析:导论","authors":"M. Wineberg","doi":"10.1145/2598394.2605341","DOIUrl":null,"url":null,"abstract":"Mark Wineberg is an Associate Professor at the Univeristy of Guelph. He has been actively researching the field of GEC since 1993 while he was still a graduate student. Over the years he has published on various topics including: the intersection of GA and GP, enhancing the GA for improved behavior in dynamic environments through specialized multiple populations, and exploring the concept of distances and diversity in GA populations. Prof. Wineberg also teaches an undergraduate course on computer simulation and modeling of discrete stochastic systems with an emphasis on proper statistical analysis, as well as a graduate course on experimental design and analysis for computer science, which is an outgrowth of the statistical analysis tutorial given at GECCO.","PeriodicalId":298232,"journal":{"name":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Statistical analysis for evolutionary computation: an introduction\",\"authors\":\"M. Wineberg\",\"doi\":\"10.1145/2598394.2605341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mark Wineberg is an Associate Professor at the Univeristy of Guelph. He has been actively researching the field of GEC since 1993 while he was still a graduate student. Over the years he has published on various topics including: the intersection of GA and GP, enhancing the GA for improved behavior in dynamic environments through specialized multiple populations, and exploring the concept of distances and diversity in GA populations. Prof. Wineberg also teaches an undergraduate course on computer simulation and modeling of discrete stochastic systems with an emphasis on proper statistical analysis, as well as a graduate course on experimental design and analysis for computer science, which is an outgrowth of the statistical analysis tutorial given at GECCO.\",\"PeriodicalId\":298232,\"journal\":{\"name\":\"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2598394.2605341\",\"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 of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2598394.2605341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
Mark Wineberg是圭尔夫大学的副教授。他从1993年开始积极研究GEC领域,当时他还是一名研究生。多年来,他发表了各种主题的文章,包括:遗传算法和遗传算法的交叉,通过专门的多种群增强遗传算法以改善动态环境中的行为,以及探索遗传算法种群的距离和多样性概念。Wineberg教授还教授一门关于离散随机系统的计算机模拟和建模的本科课程,重点是适当的统计分析,以及一门关于计算机科学实验设计和分析的研究生课程,这是GECCO提供的统计分析教程的成果。
Statistical analysis for evolutionary computation: an introduction
Mark Wineberg is an Associate Professor at the Univeristy of Guelph. He has been actively researching the field of GEC since 1993 while he was still a graduate student. Over the years he has published on various topics including: the intersection of GA and GP, enhancing the GA for improved behavior in dynamic environments through specialized multiple populations, and exploring the concept of distances and diversity in GA populations. Prof. Wineberg also teaches an undergraduate course on computer simulation and modeling of discrete stochastic systems with an emphasis on proper statistical analysis, as well as a graduate course on experimental design and analysis for computer science, which is an outgrowth of the statistical analysis tutorial given at GECCO.