{"title":"一类有界可行集规划问题的组合同伦方法","authors":"Xiuyu Wang, T. Yang, Xingwu Jiang, Qing-huai Liu","doi":"10.1109/CSO.2010.179","DOIUrl":null,"url":null,"abstract":"In this paper, we study the following nonlinear nonconvex programming problem: in f(x);s:t:gi(x) · 0; i 2 M; M = f1; 2; ¢ ¢ ¢ ;mg: Under the condition that the feasible set is bounded and connected, but it has a point that the boundary is not regular at this point, we propose the combined homotopy method to solve this problem by constructing a new constraint function and a combined homotopy equation. The convergence of the method is proved and the existence of a smooth homotopy path from any interior point to a solution of the problem is established. Our method is very different from previous homotopy method. Numerical examples show that this method is feasible and effective.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Combined Homotopy Method for Solving a Class of Programming Problems with a Bounded Feasible Set\",\"authors\":\"Xiuyu Wang, T. Yang, Xingwu Jiang, Qing-huai Liu\",\"doi\":\"10.1109/CSO.2010.179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we study the following nonlinear nonconvex programming problem: in f(x);s:t:gi(x) · 0; i 2 M; M = f1; 2; ¢ ¢ ¢ ;mg: Under the condition that the feasible set is bounded and connected, but it has a point that the boundary is not regular at this point, we propose the combined homotopy method to solve this problem by constructing a new constraint function and a combined homotopy equation. The convergence of the method is proved and the existence of a smooth homotopy path from any interior point to a solution of the problem is established. Our method is very different from previous homotopy method. Numerical examples show that this method is feasible and effective.\",\"PeriodicalId\":427481,\"journal\":{\"name\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2010.179\",\"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 Third International Joint Conference on Computational Science and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2010.179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Combined Homotopy Method for Solving a Class of Programming Problems with a Bounded Feasible Set
In this paper, we study the following nonlinear nonconvex programming problem: in f(x);s:t:gi(x) · 0; i 2 M; M = f1; 2; ¢ ¢ ¢ ;mg: Under the condition that the feasible set is bounded and connected, but it has a point that the boundary is not regular at this point, we propose the combined homotopy method to solve this problem by constructing a new constraint function and a combined homotopy equation. The convergence of the method is proved and the existence of a smooth homotopy path from any interior point to a solution of the problem is established. Our method is very different from previous homotopy method. Numerical examples show that this method is feasible and effective.