Sizing optimization of truss structures using flower pollination algorithm

Bekdaş, Gebrai̇l; Niğdeli, Sinan Melih; Yang, Xin‐She

doi:10.1016/j.asoc.2015.08.037

Cited by 152 publications

(63 citation statements)

References 32 publications

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“…Loading conditions acting on the 25-bar truss. This truss problem has been previously studied by using deterministic global methods [3] and many stochastic optimization methods [21,27,28,31,[34][35][36][37][38][39]41,45]. Table 5 compares the best designs found by ALSSO and the above-mentioned stochastic methods.…”

Section: Spatial 25-bar Truss Structurementioning

confidence: 99%

“…This truss problem has been previously studied using SAHS [27], TLBO [34], ABC-AP [36], WEO [39], FPA [38], HPSACO [40], and HPSSO [41]. The optimized designs are compared in Table 10.…”

Section: Planar 200-bar Truss Structurementioning

confidence: 99%

“…The minimum cross-sectional area of all design variables is 0.1 inch 2 . The structure is designed against three independent loading conditions: (1) 1.0 kip acting in the positive x-direction at nodes 1,6,15,20,29,34,43,48,57,62, and 71; (2) 10.0 kips acting in the negative y-direction at nodes 1, 2, 3, 4, 5, 6, 8, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 24, 26, 28, 29,30, 31, 32, 33, 34, 36, 38, 40, 42, 43, 44, 45, 46, 47, This truss problem has been previously studied using SAHS [27], TLBO [34], ABC-AP [36], WEO [39], FPA [38], HPSACO [40], and HPSSO [41]. The optimized designs are compared in Table 10.…”

Section: Planar 200-bar Truss Structurementioning

confidence: 99%

Section: Planar 200-bar Truss Structurementioning

confidence: 99%

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Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method

Du¹,

Dong

2017

Algorithms

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This paper presents a global optimization method for structural design optimization, which integrates subset simulation optimization (SSO) and the dynamic augmented Lagrangian multiplier method (DALMM). The proposed method formulates the structural design optimization as a series of unconstrained optimization sub-problems using DALMM and makes use of SSO to find the global optimum. The combined strategy guarantees that the proposed method can automatically detect active constraints and provide global optimal solutions with finite penalty parameters. The accuracy and robustness of the proposed method are demonstrated by four classical truss sizing problems. The results are compared with those reported in the literature, and show a remarkable statistical performance based on 30 independent runs.

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Section: Spatial 25-bar Truss Structurementioning

confidence: 99%

“…This truss problem has been previously studied using SAHS [27], TLBO [34], ABC-AP [36], WEO [39], FPA [38], HPSACO [40], and HPSSO [41]. The optimized designs are compared in Table 10.…”

Section: Planar 200-bar Truss Structurementioning

confidence: 99%

Section: Planar 200-bar Truss Structurementioning

confidence: 99%

Section: Planar 200-bar Truss Structurementioning

confidence: 99%

See 2 more Smart Citations

Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method

Du¹,

Dong

2017

Algorithms

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show abstract

“…Testing for use on these problems by their respective authors was also conducted using hybrid harmony search [8], and teaching learning based algorithm [9]. Many other researchers have tried and tested various heuristic methods [10][11][12][13][14][15] aiming to improve convergence and minimize optimal weight by modifying, adapting and merging methods.…”

Section: Introductionmentioning

confidence: 99%