2015
DOI: 10.1155/2015/730626
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Abstract: This paper has twin aims. Firstly, a multigrid design approach for optimization of an unconventional morphing wing is proposed. The structural design problem is assigned to optimize wing mass, lift effectiveness, and buckling factor subject to structural safety requirements. Design variables consist of partial topology, nodal positions, and component sizes of a wing internal structure. Such a design process can be accomplished by using multiple resolutions of ground elements, which is called a multigrid approa… Show more

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Cited by 7 publications
(14 citation statements)
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References 45 publications
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“…Later, an alternative optimizer is evolutionary algorithms due to the fact they are robust, simple to use, derivative-free, and free from intermediate pseudo densities [8]. Complicated problems, such as partial topology, simultaneous topology, shape, and sizing optimization, can be performed within one optimization run [3,8,16,17] by using such algorithms. In this paper [8], they presented the comparative performance of multi-objective evolutionary algorithms (MOEAs) for solving structural topology optimization test problems based on ground element filtering technique.…”
Section: Topological Designs With Ground Element Filteringmentioning
confidence: 99%
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“…Later, an alternative optimizer is evolutionary algorithms due to the fact they are robust, simple to use, derivative-free, and free from intermediate pseudo densities [8]. Complicated problems, such as partial topology, simultaneous topology, shape, and sizing optimization, can be performed within one optimization run [3,8,16,17] by using such algorithms. In this paper [8], they presented the comparative performance of multi-objective evolutionary algorithms (MOEAs) for solving structural topology optimization test problems based on ground element filtering technique.…”
Section: Topological Designs With Ground Element Filteringmentioning
confidence: 99%
“…OMPBIL has been developed as an improved version of MPBIL [3]. Due to LR affecting MPBIL performance, the issue is how to select a proper value of LR for a general problem.…”
Section: Opposite-based Mpbilmentioning
confidence: 99%
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