Volume 1, Issue 3 (9-2011)                   2011, 1(3): 377-395 | Back to browse issues page

XML Print


Abstract:   (27332 Views)
In this paper, an efficient optimization algorithm is proposed based on Particle Swarm Optimization (PSO) and Simulated Annealing (SA) to optimize truss structures. The proposed algorithm utilizes the PSO for finding high fitness regions in the search space and the SA is used to perform further investigation in these regions. This strategy helps to use of information obtained by swarm in an optimal manner and to direct the agents toward the best regions, resulting in possible reduction of the number of particles. To show the computational advantages of the new PSO-SA method, some benchmark numerical examples are studied. The PSO-SA algorithm converges to better or at least the same solutions, while the number of structural analyses is significantly reduced
Full-Text [PDF 303 kb]   (5691 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2012/01/23 | Published: 2011/09/15

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.