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The genetic algorithm applied to stiffness maximization of laminated plates: review and comparison

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Abstract

The design of laminated structures is highly tailorable owing to the large number of available design variables, thereby requiring an optimization method for effective design. Furthermore, in practice, the design problem translates to a discrete global optimization problem which requires a robust optimization method such as the genetic algorithm. In this paper, the genetic algorithm, based on the real variable coding, is applied to the strain energy minimization of rectangular laminated composite plates. The results for both a point load and uniformly distributed load compare well with those achieved using trajectory methods for continuous global optimization.

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Authors and Affiliations

  1. Structural and Multidisciplinary Optimization Research Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria, South Africa

    E. Potgieter

  2. Structural and Multidisciplinary Optimization Research Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria, South Africa

    N. Stander

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  1. E. Potgieter
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  2. N. Stander
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Potgieter, E., Stander, N. The genetic algorithm applied to stiffness maximization of laminated plates: review and comparison. Structural Optimization 15, 221–229 (1998). https://doi.org/10.1007/BF01203535

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  • DOI: https://doi.org/10.1007/BF01203535

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