کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
567544 1452159 2013 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multimodal size, shape, and topology optimisation of truss structures using the Firefly algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
Multimodal size, shape, and topology optimisation of truss structures using the Firefly algorithm
چکیده انگلیسی

This paper presents an efficient single-stage Firefly-based algorithm (FA) to simultaneously optimise the size, shape and topology of truss structures. The optimisation problem uses the minimisation of structural weight as its objective function and imposes displacement, stress and kinematic stability constraints. Unstable and singular topologies are disregarded as possible solutions by checking the positive definiteness of the stiffness matrix. Because cross-sectional areas are usually defined by discrete values in practice due to manufacturing limitations, the optimisation algorithm must assess a mixed-variable optimisation problem that includes both discrete and continuous variables at the same time. The effectiveness of the FA at solving this type of optimisation problem is demonstrated with benchmark problems, the results for which are better than those reported in the literature and obtained with lower computational costs, emphasising the capabilities of the proposed methodology. In addition, the procedure is capable of providing multiple optima and near-optimal solutions in each run, providing a set of possible designs at the end of the optimisation process.


► Multimodal size, shape, and topology optimisation of trusses.
► Efficient single-stage Firefly based algorithm.
► Discrete and continuous variables at the same time.
► It provides multiple optima and near-optimum solutions in a single run.
► Results similar or even better than the literature.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Engineering Software - Volume 56, February 2013, Pages 23–37
نویسندگان
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