SEQUENTIAL CONVEX PROGRAMMING METHODS FOR SOLVING LARGE TOPOLOGY OPTIMIZATION PROBLEMS: IMPLEMENTATION AND COMPUTATIONAL RESULTS

• 来源期刊: 计算数学（英文版）
• 关键词: Large scale optimization Topology optimization Sequential convex programming method Predictor-corrector interior point method Method of moving asymptotes.
• 年，卷（期）: 2005,（5）
• 页码范围: 491-502
• 页数: 12页
• 语种: 英文

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.