Q. Li, Y. Mou, Junxia Guan, Qinghua Su, Beiping Wu, Haiming Wu
{"title":"基于差分进化算法的复合辛普森法数值积分","authors":"Q. Li, Y. Mou, Junxia Guan, Qinghua Su, Beiping Wu, Haiming Wu","doi":"10.1109/FSKD.2016.7603274","DOIUrl":null,"url":null,"abstract":"For solving numerical integral problems, a composite Simpson method based on Differential Evolution algorithm (S-DE) is proposed. The proposed method can be viewed as a piecewise integration method. It firstly uses the differential evolution algorithm (DE) to find the optimal segmentation points on the integral interval of an integrand. The approximate integral value of the integrand is then calculated by a composite Simpson method. The comparative analyses of numerical experiment results show the advantages of S-DE on a class of integral problems.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Composite simpson method based on differential evolution algorithm for numerical integral\",\"authors\":\"Q. Li, Y. Mou, Junxia Guan, Qinghua Su, Beiping Wu, Haiming Wu\",\"doi\":\"10.1109/FSKD.2016.7603274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For solving numerical integral problems, a composite Simpson method based on Differential Evolution algorithm (S-DE) is proposed. The proposed method can be viewed as a piecewise integration method. It firstly uses the differential evolution algorithm (DE) to find the optimal segmentation points on the integral interval of an integrand. The approximate integral value of the integrand is then calculated by a composite Simpson method. The comparative analyses of numerical experiment results show the advantages of S-DE on a class of integral problems.\",\"PeriodicalId\":373155,\"journal\":{\"name\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2016.7603274\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2016.7603274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Composite simpson method based on differential evolution algorithm for numerical integral
For solving numerical integral problems, a composite Simpson method based on Differential Evolution algorithm (S-DE) is proposed. The proposed method can be viewed as a piecewise integration method. It firstly uses the differential evolution algorithm (DE) to find the optimal segmentation points on the integral interval of an integrand. The approximate integral value of the integrand is then calculated by a composite Simpson method. The comparative analyses of numerical experiment results show the advantages of S-DE on a class of integral problems.