Multimodal size, shape, and topology optimisation of truss structures using the Firefly algorithm

Miguel, Leandro Fleck Fadel; López, Rosalía Rodríguez; Miguel, Letícia Fleck Fadel

doi:10.1016/j.advengsoft.2012.11.006

Cited by 149 publications

(78 citation statements)

References 46 publications

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“…Furthermore, this strategy it is easily applicable to any other optimization algorithms originally developed for unconstrained continuous problems. The approach employed on this paper has been successfully applied by other researches, such as , Miguel et al (2013) and Gonçalves et al (2015).…”

Section: Bsa For Simultaneous Topology Shape and Size Optimizationmentioning

confidence: 95%

“…OFE = 50000, to compare the results obtained here to the ones of Miguel et al (2013), which found the best design in the literature and provided statistics for a series of runs of the FA.…”

Section: Latin American Journal Of Solids and Structures 13 (2016) 29mentioning

confidence: 99%

“…Here, we perform the simultaneous SSTO of this structure. This problem was studied by Rajan (1995) and Balling et al (2006) who employed the GA, Martini (2011) who employed the Harmony Search (HS), and Miguel et al (2013) who employed the FA. In this study, the truss shape is optimized allowing the vertical coordinates of the three superior nodes (1, 2 and 3, Figure 2) to move between 457.2 cm and 2540 cm.…”

Section: Eleven-bar Truss Examplementioning

confidence: 99%

“…The problem is formulated similarly to Miguel et al (2013), where the topology is optimized through a ground structure concept, in which members and nodes are allowed to be eliminated in order to vary the truss topology.…”

Section: Problem Formulationmentioning

confidence: 99%

“…al. (2004), Tand et al (2005), Miguel et al (2012), Miguel et al (2013), Grierson and Pak (1993), Rajan (1995), Hajela and Lee (1995), Shrestha and Ghaboussi (1998), Deb and Gulati (2001), Ahari et al (2014), Kaveh and Ahmadi (2014), Kutyłowski and Rasiak (2014), Gonçalves et al (2015). This fact motivates the development of optimization methods and their application to the SSTO problem.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Backtracking Search Algorithm for the Simultaneous Size, Shape and Topology Optimization of Trusses

Souza

Miguel

López

et al. 2016

Lat. Am. j. solids struct.

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This paper presents a Backtracking Search Optimization algorithm (BSA) to simultaneously optimize the size, shape and topology of truss structures. It focuses on the optimization of these three aspects since it is well known that the most effective scheme of truss optimization is achieved when they are simultaneously considered. The minimization of structural weight is the objective function, imposing displacement, stress, local buckling and/or kinematic stability constraints. The effectiveness of the BSA at solving this type of optimization problem is demonstrated by solving a series of benchmark problems comparing not only the best designs found, but also the statistics of 100 independent runs of the algorithm. The numerical analysis showed that the BSA provided promising results for the analyzed problems. Moreover, in several cases, it was also able to improve the statistics of the independent runs such as the mean and coefficient of variation values.

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Section: Bsa For Simultaneous Topology Shape and Size Optimizationmentioning

confidence: 95%

“…OFE = 50000, to compare the results obtained here to the ones of Miguel et al (2013), which found the best design in the literature and provided statistics for a series of runs of the FA.…”

Section: Latin American Journal Of Solids and Structures 13 (2016) 29mentioning

confidence: 99%

Section: Eleven-bar Truss Examplementioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Backtracking Search Algorithm for the Simultaneous Size, Shape and Topology Optimization of Trusses

Souza

Miguel

López

et al. 2016

Lat. Am. j. solids struct.

View full text Add to dashboard Cite

show abstract

References

2021

Metaheuristics for Structural Design and Analysis

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Natural frequency analysis and optimal design of CNT/fiber/polymer hybrid composites plates using mori‐tanaka approach, GDQ technique, and firefly algorithm

2016

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In the present work, two main goals are followed. First, free vibrations of multiscale nanocomposite plates consist of agglomerated carbon nanotubes (CNTs), E-glass fibers, and polymer are presented based on first-order shear deformation theory. Mori-Tanaka (MT) approach and fiber micromechanics are used to estimate the mechanical properties of CNT/fiber/polymer composite (CNTFPC) plate. For natural frequency analysis of the CNTFPC plate, 2-D generalized differential quadrature (GDQ) method as an efficient and accurate numerical tool is implemented to solve the governing equations. The accuracy of the MT method and GDQ technique are examined by comparing the present results with the experimental or numerical data available in the literature. A parametric study is carried out to investigate the influences of CNTs volume fraction, CNTs agglomeration, fiber volume fraction, different geometrical parameters such as the thickness-to-length ratio, different laminate lay-up (cross-ply and angle-ply) and various boundary conditions on the natural frequencies of CNTFPC plates. As for the second goal of the paper, stacking sequence optimization of CNTFPC plates is presented to maximize the fundamental natural frequency of the structure. The search space of optimization problem is large and consequently the optimization processes becomes too much time consuming. Therefore, a biologically-inspired meta-heuristic algorithm called firefly algorithm that solves optimization problems without using gradient-based information on the objective functions and the constraints is applied to obtain the best stacking sequence of CNTFPC plate. POLYM. COMPOS., 00:000-000, 2016. V C

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Multimodal size, shape, and topology optimisation of truss structures using the Firefly algorithm

Cited by 149 publications

References 46 publications

A Backtracking Search Algorithm for the Simultaneous Size, Shape and Topology Optimization of Trusses

A Backtracking Search Algorithm for the Simultaneous Size, Shape and Topology Optimization of Trusses

References

Natural frequency analysis and optimal design of CNT/fiber/polymer hybrid composites plates using mori‐tanaka approach, GDQ technique, and firefly algorithm

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