{"title":"利用目标函数特征聚类分析预测差分进化的有效控制参数","authors":"S. P. Walton, M. R. Brown","doi":"10.1007/s10732-019-09419-8","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54810,"journal":{"name":"Journal of Heuristics","volume":"25 1","pages":"1015 - 1031"},"PeriodicalIF":1.1000,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10732-019-09419-8","citationCount":"4","resultStr":"{\"title\":\"Predicting effective control parameters for differential evolution using cluster analysis of objective function features\",\"authors\":\"S. P. Walton, M. R. Brown\",\"doi\":\"10.1007/s10732-019-09419-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":54810,\"journal\":{\"name\":\"Journal of Heuristics\",\"volume\":\"25 1\",\"pages\":\"1015 - 1031\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2019-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s10732-019-09419-8\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Heuristics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s10732-019-09419-8\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Heuristics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10732-019-09419-8","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍：
The Journal of Heuristics provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. It fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. It considers the importance of theoretical, empirical, and experimental work related to the development of heuristics.
The journal presents practical applications, theoretical developments, decision analysis models that consider issues of rational decision making with limited information, artificial intelligence-based heuristics applied to a wide variety of problems, learning paradigms, and computational experimentation.
Officially cited as: J Heuristics
Provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly.
Fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems.
Considers the importance of theoretical, empirical, and experimental work related to the development of heuristics.
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