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SEQUENTIAL CONVEX PROGRAMMING METHODS FOR SOLVING LARGE TOPOLOGY OPTIMIZATION PROBLEMS: IMPLEMENTATION AND COMPUTATIONAL RESULTS
作者姓名:Ch.Zillober  K.Schittkowski
作者单位:Department of Computer Science University of Bayreuth,D-95440 Bayreuth,Germany,Department of Computer Science,University of Bayreuth,D-95440 Bayreuth,Germany
基金项目:This work was mainly done while the first author was visiting the University of Bayreuth, and was supported by the Chinese Scholarship Council, German Academic Exchange Service (DAAD) and the National Natural Science Foundation of China.
摘    要:In this paper, we describe a method to solve large-scale structural optimization problems by sequential convex programming (SCP). A predictor-corrector interior point method is applied to solve the strictly convex subproblems. The SCP algorithm and the topology optimization approach are introduced. Especially, different strategies to solve certain linear systems of equations are analyzed. Numerical results are presented to show the efficiency of the proposed method for solving topology optimization problems and to compare different variants.

关 键 词:大比例优化  拓扑优化  连续凸函数  渐进线
收稿时间:2004-02-04
修稿时间:2004-02-04

SEQUENTIAL CONVEX PROGRAMMING METHODS FOR SOLVING LARGE TOPOLOGY OPTIMIZATION PROBLEMS:IMPLEMENTATION AND COMPUTATIONAL RESULTS
Ch.Zillober,K.Schittkowski.SEQUENTIAL CONVEX PROGRAMMING METHODS FOR SOLVING LARGE TOPOLOGY OPTIMIZATION PROBLEMS:IMPLEMENTATION AND COMPUTATIONAL RESULTS[J].Journal of Computational Mathematics,2005,23(5):491-502.
Authors:Qin Ni  Ch Zillober  K Schittkowski
Institution:1. Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, China; 2. Department of Computer Science, University of Bayreuth, D-95440 Bayreuth, Germany
Abstract:In this paper,we describe a method to solve large-scale structural optimization prob- lems by sequential convex programming(SCP).A predictor-corrector interior point method is applied to solve the strictly convex subproblems.The SCP algorithm and the topology optimization approach are introduced.Especially,different strategies to solve certain linear systems of equations are analyzed.Numerical results are presented to show the efficiency of the proposed method for solving topology optimization problems and to compare different variants.
Keywords:Large scale optimization  Topology optimization  Sequential convex programming method  Predictor-corrector interior point method  Method of moving asymptotes
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