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Zuo Kongtian
Zhao Yudong
Department of Automotive Engineering, Tsinghua University,
Beijing 100084, China
Chen Liping
Zhong Yifang
School of Mechanical Engineering,
Huazhong University of Science
and Technology,
Wuhan 430074, China
Huang Yuying
Department of Mechanics,
Huazhong University of Science
and Technology,
Wuhan 430074, China |
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NEW HMM
ALGORITHM FOR TOPOLOGY OPTIMIZATION*
Abstract:
A new hybrid MMA-MGCMMA (HMM) algorithm for solving topology optimization problems is presented. This algorithm combines the method of moving asymptotes (MMA) algorithm and the modified globally convergent version of the method of moving asymptotes (MGCMMA) algorithm in the optimization process. This algorithm preserves the advantages of both MMA and MGCMMA. The optimizer is switched from MMA to MGCMMA automatically, depending on the numerical oscillation value existing in the calculation. This algorithm can improve calculation efficiency and accelerate convergence compared with simplex MMA or MGCMMA algorithms, which is proven with an example.
Key words:
Topology optimization Method of moving asymptotes (MMA) Modified globally convergent version of MMA (MGCMMA) HMM algorithm Convergence
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