{"title":"An Algorithm for Global Optimization Based on CFO-BFGS","authors":"Ruiqi Sun","doi":"10.1109/CIS.2017.00054","DOIUrl":null,"url":null,"abstract":"Evolutionary algorithm has some drawbacks, such as premature convergence. To overcome these problems, this article proposed a hybrid algorithm of Central Force Optimization (CFO) and BFGS method. A new mutation operator are constructed to balance the exploration and exploitation. Several benchmark functions are selected to test the validity of hybrid algorithm. The numerical experiment results show that new algorithm is effective for solving global optimization problems.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Computational Intelligence and Security (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2017.00054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Evolutionary algorithm has some drawbacks, such as premature convergence. To overcome these problems, this article proposed a hybrid algorithm of Central Force Optimization (CFO) and BFGS method. A new mutation operator are constructed to balance the exploration and exploitation. Several benchmark functions are selected to test the validity of hybrid algorithm. The numerical experiment results show that new algorithm is effective for solving global optimization problems.
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