Multi-objective topology and sizing optimization of truss structures based on adaptive multi-island search strategy

作者：Su, Ruiyi^*; Wang, Xu; Gui, Liangjin; Fan, Zijie

来源：Structural and Multidisciplinary Optimization, 2011, 43(2): 275-286.

DOI：10.1007/s00158-010-0544-4

• Multi-objective
• Genetic algorithm
• Truss
• Topology optimization
• Sizing optimization

This paper uses genetic algorithm to handle the topology and sizing optimization of truss structures, in which a sparse node matrix encoding approach is used and individual identification technique is employed to avoid duplicate structural analysis to save computation time. It is observed that NSGA-II could not improve the convergence of non-dominated front at latter generations when solving multi-objective topology and sizing optimization of truss structures. Therefore, an adaptive multi-island search strategy for multi-objective optimization problem (AMISS-MOP) is developed to enhance the convergence. Meanwhile, an elitist strategy based on archive set is introduced to reduce the size of non-dominated sorting to improve computation efficiency. Two numeric examples are presented to demonstrate the performance of AMISS-MOP. Results show that the global Pareto front could be found by AMISS-MOP, the convergence is improved as generation increases, and the time spent on non-dominated sorting is reduced.

• 出版日期2011-2
• 单位清华大学