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As a first attempt, finite element (FE), genetic algorithm (GA) and particle swarm optimization (PSO) methods are mixed to maximize buckling load of stiffened laminated composite plate via finding optimum fibers orientation of the plate. The FE method is used to solve the higher-order shear deformation based equations of the plate. To improve the performance of genetic algorithms for solving the problem, the particle swarm optimization technique is added as an operator of the GA. Accuracy, convergence and applicability of the proposed approach are shown. Effects of the dimensions of the plate, the cross section shapes of the stiffener(s), number of layers of the plate and boundary conditions on the optimum results are investigated. [ABSTRACT FROM AUTHOR]

As a first attempt, a combined method is introduced to obtain maximum fundamental frequency of thick laminated composite plates via finding optimum fibers orientation. The governing equations are obtained based on the higher order shear deformation theory (HSDT). The robust and accurate finite element method (FEM) is used to discretize the governing equations. The transferred form of the equations in frequency domain is obtained and the fundamental frequency of the plate is achieved. High sensitivity of the problem with the fibers orientations is shown. To find the optimum fibers orientation of the thick plate a mixed implementable evolutionary algorithm is used. In the proposed genetic algorithms (GAs) base method, particle swarm optimization (PSO) method is added to improve specified percent of GAs population. Applicability and usefulness of the method is demonstrated by solving different examples. [ABSTRACT FROM AUTHOR]

A new strategy is proposed to find optimal fibers orientation of stiffened laminated composite panels to reach their maximum buckling load. To do so, buckling analysis of laminated stiffened composite panel is performed by using the ABAQUS software. A new hybrid algorithm based on the particle swarm optimization (PSO) and genetic algorithm (GA) is introduced for the optimization purpose. The conventional PSO method is improved by introducing a new inertia weight of velocity in the formulation. The validity of the proposed modeling technique is controlled by comparing the modeling results with that of experiment, and other previously published models and a satisfactory result has been achieved. Also, it has been found that the proposed optimization method has better performance than the existing methods, in terms of convergence speed and the accuracy of the algorithm. Moreover, the effects of shape of stiffeners, number of panel layers, curvature of panel, and boundary conditions on the optimal design are investigated. • Buckling load optimization of stiffened laminated composite panels is studied. • An improved PSO-GA optimization technique is introduced. • A new inertia weight for the PSO is proposed. • Mix of the FEM and developed evolutionary optimization technique is proposed. • Influences of different parameters on the optimal results are investigated. [ABSTRACT FROM AUTHOR]