期刊
COMPUTERS & STRUCTURES
卷 125, 期 -, 页码 86-99出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2013.04.024
关键词
Layout optimization; Particle swarm optimization; Cellular automata; Exterior penalty function; Truss structure
The main contribution of the present paper is to propose an efficient hybrid optimization algorithm for layout optimization of truss structures. To achieve this, computational merits of the cellular automata (CA) and the particle swarm optimization (PSO) are integrated. In the proposed hybrid algorithm a CA-based mechanism is utilized as the velocity updating equation of the particles in the framework of the sequential unconstrained minimization techniques and therefore it is denoted as sequential cellular PSO (SCPSO). The numerical results demonstrate that SCPSO not only converges to better solutions but also provides faster convergence rate in comparison with other algorithms. (C) 2013 Elsevier Ltd. All rights reserved.
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