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AN INTERVAL ALGORITHM FOR CONSTRAINED GLOBAL OPTIMIZATION
作者姓名:张连生  朱文兴  田蔚文
作者单位:Department of Mathematics,Shanghai University of Science and Technology,Shanghai 201800,PRC.,Department of Mathematics,Shanghai University of Science and Technology,Shanghai 201800,PRC,Department of Mathematics,Shanghai University of Science and Technology,Shanghai 201800,PRC.
基金项目:This research is supported by the National Science Foundation of China.
摘    要:In order to solve the constrained global optimization problem,we use penalty functions not only on constraints but also on objective function. Then within the framework of interval analysis,an interval Branch-and-Bound algorithm is given,which does not need to solve a sequence of unconstrained problems. Global convergence is proved. Numerical examples show that this algorithm is efficient.


AN INTERVAL ALGORITHM FOR CONSTRAINED GLOBAL OPTIMIZATION
Zhang Lian-sheng.AN INTERVAL ALGORITHM FOR CONSTRAINED GLOBAL OPTIMIZATION[J].Numerical Mathematics A Journal of Chinese Universities English Series,1995(1).
Authors:Zhang Lian-sheng
Institution:Zhang Lian-sheng Department of Mathematics,Shanghai University of Science andTechnology,Shanghai 201800,PRC. Zhu Wen-xing Department of Mathematics,Shanghai University of Science andTechnology,Shanghai 201800,PRC. Tian Wei-wen Department of Mathematics,Shanghai University of Science andTechnology,Shanghai 201800,PRC.
Abstract:In order to solve the constrained global optimization problem,we use penalty functions not only on constraints but also on objective function. Then within the framework of interval analysis,an interval Branch-and-Bound algorithm is given,which does not need to solve a sequence of unconstrained problems. Global convergence is proved. Numerical examples show that this algorithm is efficient.
Keywords:Constrained golbal optimization  interval analysis  penally function  Branch -and-Bound algorithm  
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