Author/Authors :
A. Hadidi، A. Hadidi نويسنده Department of Civil Engineering, University of Tabriz, Tabriz, Iran A. Hadidi, A. Hadidi , A. Kaveh، A. Kaveh نويسنده دانشكده مهندسي دانشگاه علم و صنعت ايران A. Kaveh, A. Kaveh , S. Talatahari، S. Talatahari نويسنده دانشكده مهندسي دانشگاه تبريز S. Talatahari, S. Talatahari , C. Farahmandpour، C. Farahmandpour نويسنده Department of Civil Engineering, University of Tabriz, Tabriz, Iran C. Farahmandpour, C. Farahmandpour
Abstract :
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 compared to the standard PSO and some other
existing algorithms in the literature.
