{"title":"A FFACGO for Constrained Global Optimization","authors":"Wei-xiang Wang, Y. Shang","doi":"10.1109/JCAI.2009.176","DOIUrl":null,"url":null,"abstract":"In this paper, a filled function approach for constrained global optimization (FFACGO) is proposed. It is a combination of the idea of filled function method in unconstrained global optimization with the concept of penalty function in constrained optimization.Moreover, this FFACGO can be easily actualized with a process that aims at successively finding better optimizer. The performance of the FFACGO in numerical experiments for several testing functions is quite satisfactory and shows its efficiency","PeriodicalId":154425,"journal":{"name":"2009 International Joint Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Joint Conference on Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCAI.2009.176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a filled function approach for constrained global optimization (FFACGO) is proposed. It is a combination of the idea of filled function method in unconstrained global optimization with the concept of penalty function in constrained optimization.Moreover, this FFACGO can be easily actualized with a process that aims at successively finding better optimizer. The performance of the FFACGO in numerical experiments for several testing functions is quite satisfactory and shows its efficiency
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