Abstract

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Title:: Improved Multi-objective Heuristic Particle Swarm Optimizer and Its Application in Truss Structural Design

Author(s):: LI Li-juan; LIANG Jing-chang; School of Civil and Transportation Engineering, Guangdong University of Technology

Keywords:: truss structure; heuristic particle swarm optimizer; multi-objective optimization; improved constraint handling; convergence accuracy

Abstract:: According to the common problems in the multi-objective optimization of engineering structures, such as difficulties in dealing with the constraints, the complexity of programming, low calculating efficiency and bad convergence precision, a multi-objective heuristic particle swarm optimizer (MOHPSO) was proposed by improving the heuristic particle swarm optimizer (HPSO). Then the MOHPSO was compared with multi-objective particle swarm optimizer (MOPSO) and improved multi-objective group search optimizer (IMGSO). Through three classic examples of 15bar plane truss, 40bar plane truss and 72bar spatial truss structure, the validity of MOHPSO was proved. The results show that the MOHPSO has better convergence accuracy, constraint handling is powerful, the global optimal solution selection is more reasonable and the maintenance efficiency of the non-inferior-solution set is much higher.