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Title
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Optimal Design of Skew Composite Laminates for Maximized Frequency Separation
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Type
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Refereeing
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Keywords
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Composites, Cuckoo Search, Genetic Algorithm, Multimodal function, Particle Swarm
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Abstract
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Optimizing the stacking sequence of composite laminates to maximize the frequency separation between first two modes is a highly non-linear NP-hard problem. The high non-linearity leads to a multimodal search space. Thus, in this paper, three non-traditional optimization algorithms, viz. genetic algorithm (GA), Repulsive Particle Swarm Optimization with Local search and chaotic perturbation (RPSOLC) and co-evolutionary host-parasite (CHP) are used. RPSOLC is a variant of PSO with better memetic features whereas CHP is a much-improved variant of Cuckoo Search. All these three algorithms are combined with a high fidelity finite element (FE) module which simulates the free vibration behaviour of plates. Validation with existing literature demonstrates the efficiency of the three procedures. Benchmark results are reported for skew plates of different layers having symmetric ply-orientations, subject to different boundary conditions. Numerical experiments show that FE-CHP outperforms FE-GA and FE-RPSOLC. It is seen that, in some cases FE-CHP is able to even better the best known optimal solutions in literature produced by other reliable global optimization methods like artificial bee colony.
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Researchers
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Hadi Ghashochi Bargh (Referee)
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