Multi-dimensional design optimisation of laminated structures using an improved genetic algorithm
Tabakov, Pavel Y.
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The present study demonstrates a new variation of the genetic algorithm (GA) technique for engineering applications. This approach is highly efficient for many classes of engineering problems. The proposed selection of the best individuals and localised search makes the search more effective and rapidly improves the fitness value from generation to generation. Both continuous and discrete design variables are considered, and a comparative analysis of the performance of the algorithm is studied. The evaluation of the burst pressure of thick composite pressure vessels based on three-dimensional stress–strain analysis is considered here as an example. Exact elasticity solutions are obtained using the stress function approach where the radial, circumferential and shear stresses are determined taking the closed ends of the cylindrical shell into account.