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A new laminates encoding scheme for the genetic algorithm-based optimization of stiffened composite panels

Aleksandr Cherniaev (Samara State Aerospace University (National Research University), Samara, Russian Federation)

Engineering Computations

ISSN: 0264-4401

Article publication date: 25 February 2014

170

Abstract

Purpose

The genetic algorithm (GA) technique is widely used for the optimization of stiffened composite panels. It is based on sequential execution of a number of specific operators, including the encoding of particular design variables. For instance, in the case of a stiffened composite panel, the design variables that need to be encoded are: the number of plies and their stacking sequences in the panel skin and stiffeners. This paper aims to present a novel, implicit, heuristic approach for encoding composite laminates and, through its use, demonstrates an improvement in the optimization process.

Design/methodology/approach

The stiffened panel optimization has been formulated as a constrained discrete minimum-weight design problem. GAs, which use both new encoding schemes and those previously described in the literature, have been used to find near-optimal solutions to the formulated problem. The influence of the new encoding scheme on the searching capabilities of the GA has been investigated using comparative analysis of the optimization results.

Findings

The new encoding scheme allows the definition of stacking sequences in composites using shorter symbolic representations as compared with standard encoding operators and, as a result of this, a reduction in the problem design space. According to numerical experiments performed in this work, this feature enables GA to obtain near-optimal designs using smaller population sizes than those required if standard encoding schemes are used.

Originality/value

The approach to encoding laminates presented in this paper is based on the original heuristics. In the context of GA-based optimization of stiffened composite panels, the use of the new approach rather than the standard encoding technique can lead to a significant reduction in computational time employed.

Keywords

Citation

Cherniaev, A. (2014), "A new laminates encoding scheme for the genetic algorithm-based optimization of stiffened composite panels", Engineering Computations, Vol. 31 No. 1, pp. 33-47. https://doi.org/10.1108/EC-08-2011-0089

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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