OPTIMIZATION OF PRISMATIC CORE SANDWICH PANEL BASED ON PARTICLE SWARM ALGORITHM

High strength to weight ratio is significant specific of sandwich panels due to trait particular of special structure of them. The variables that defined for design of sandwich panels should be determined with procedure that it has lowest weight with appropriate strength. Due to this reason, utilization of optimization algorithms to design of these panels has a particular importance. Particle swarm optimization (PSO) algorithm is a random method that is adopted from nature for solving couple and multi objective problems in engineering. In this paper the application of this method in weight optimization of prismatic core sandwich panels based on yield and buckling criteria is proposed. Because of the PSO algorithm, doesnt need the derivative and special preliminary guess and also is a random procedure, this algorithm is able to search the extended solving space with appropriate probability. Comparison of results represented that PSO algorithm in few iterates can achieve to better results.