{"title":"A kind of ant colony algorithm for function optimization","authors":"Wei-qing Xiong, Ping Wei","doi":"10.1109/ICMLC.2002.1176818","DOIUrl":null,"url":null,"abstract":"The paper introduced a coding and selectional operation based on the genetic algorithm through recognizing the standard ant colony algorithm, and improve the pheromone for general function optimization. The algorithm was proved to be efficient by several function solutions.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"27 1","pages":"552-555 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1176818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The paper introduced a coding and selectional operation based on the genetic algorithm through recognizing the standard ant colony algorithm, and improve the pheromone for general function optimization. The algorithm was proved to be efficient by several function solutions.
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