{"title":"约束优化问题的改进类电磁机构算法","authors":"Yun Shang, Jing Chen, Qun Wang","doi":"10.1109/CIS.2010.42","DOIUrl":null,"url":null,"abstract":"To move the sample points towards the optimality according to an attraction-repulsion mechanism, an improved heuristic is proposed. Firstly, the constrained optimization problem is transformed into an unconstrained optimization problem by external point method. Secondly, the formula of the particle charge is re-defined to decrease the amount of calculation and improve the efficiency. Then the formula of the total force vector is also improved in order to reduce the amount of computation and computer overflow. Finally, the improved EM Algorithm is proposed. The numerical results demonstrate that the proposed algorithm is efficient and robust.","PeriodicalId":420515,"journal":{"name":"2010 International Conference on Computational Intelligence and Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Improved Electromagnetism-Like Mechanism Algorithm for Constrained Optimization Problem\",\"authors\":\"Yun Shang, Jing Chen, Qun Wang\",\"doi\":\"10.1109/CIS.2010.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To move the sample points towards the optimality according to an attraction-repulsion mechanism, an improved heuristic is proposed. Firstly, the constrained optimization problem is transformed into an unconstrained optimization problem by external point method. Secondly, the formula of the particle charge is re-defined to decrease the amount of calculation and improve the efficiency. Then the formula of the total force vector is also improved in order to reduce the amount of computation and computer overflow. Finally, the improved EM Algorithm is proposed. The numerical results demonstrate that the proposed algorithm is efficient and robust.\",\"PeriodicalId\":420515,\"journal\":{\"name\":\"2010 International Conference on Computational Intelligence and Security\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2010.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2010.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Electromagnetism-Like Mechanism Algorithm for Constrained Optimization Problem
To move the sample points towards the optimality according to an attraction-repulsion mechanism, an improved heuristic is proposed. Firstly, the constrained optimization problem is transformed into an unconstrained optimization problem by external point method. Secondly, the formula of the particle charge is re-defined to decrease the amount of calculation and improve the efficiency. Then the formula of the total force vector is also improved in order to reduce the amount of computation and computer overflow. Finally, the improved EM Algorithm is proposed. The numerical results demonstrate that the proposed algorithm is efficient and robust.
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