Improved Fruit Fly Optimization Algorithm Incorporating Tabu Search for Optimizing the Selection of Elements in Trusses

Li, Yancang; Lian, Sida

doi:10.1007/s12205-017-2000-0

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…e known material density is the search space dimension is 10. We compared improved chicken swarm optimization with improved particle swarm optimization (IPSO), improved fruit fly optimization algorithm (IFFOA), and improved genetic algorithm (IGA) [43][44][45]. e node loads are shown in Table 4, and the bars are grouped in Table 5.…”

Section: Optimization Design Of Cross Section Of the 25 Bar Spacementioning

confidence: 99%

“…Truss Structure. As shown in Figure 9, the space 52 truss structure model is established, and the bars are divided into 12 groups according to the force of the members [44]. e specific grouping situation is shown in Table 7.…”

Section: Optimization Design Of Cross Section Of the 52 Bar Planementioning

confidence: 99%

“…Rod cross-sectional area (mm 2 ) IPSO [43] IFFOA [44] IGA [ Advances in Civil Engineering Figure 11 [46]. e structure considers two load conditions.…”

Section: Numberingmentioning

confidence: 99%

“…e specific grouping of the rods is shown in Table 10. e rods are made of the same material, the material density is ρ � 2 678 kg/m 3 , the elastic modulus is E � 68950 MPa, the maximum displacement variation range of each joint of the rods in each direction is ± 6.35 mm, the allowable stress range is [− 172.375, 172.375], we compared the results with the improved particle swarm optimization algorithm (IPSO), the improved fruit fly optimization algorithm (IFFOA), and the improved genetic algorithm (IGA) [43][44][45], and the optimized results are shown in Table 11.…”

Section: Numberingmentioning

confidence: 99%

“…e design variable has 29 dimensions and is a relatively complex structural optimization problem. We compared the improved chicken swarm optimization with the results of the improved gravitational search algorithm (IGSA), improved genetic algorithm (IGA), and improved fruit fly optimization algorithm (IFFOA) [44,47,48].…”

Section: Optimization Design Of Cross Section Of the 200 Bar Plane Trmentioning

confidence: 99%

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Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm

Wang

Han

2019

Advances in Civil Engineering

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To improve the efficiency of the structural optimization design in truss calculation, an improved chicken swarm optimization algorithm was proposed for truss structure optimization. The chicken swarm optimization is a novel swarm intelligence algorithm. In the basic chicken swarm optimization algorithm, the concept of combining chaos strategy and reverse learning strategy was introduced in the initialization to ensure the global search ability. And the inertia weighting factor and the learning factor were introduced into the chick position update process, so as to better combine the global and local search. Finally, the overall individual position of the algorithm was optimized by the differential evolution algorithm. The improved algorithm was tested by multipeak function and applied to the truss simulation experiment. The study provided a new method for the truss structure optimization.

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Section: Optimization Design Of Cross Section Of the 25 Bar Spacementioning

confidence: 99%

Section: Optimization Design Of Cross Section Of the 52 Bar Planementioning

confidence: 99%

“…Rod cross-sectional area (mm 2 ) IPSO [43] IFFOA [44] IGA [ Advances in Civil Engineering Figure 11 [46]. e structure considers two load conditions.…”

Section: Numberingmentioning

confidence: 99%

Section: Numberingmentioning

confidence: 99%

Section: Optimization Design Of Cross Section Of the 200 Bar Plane Trmentioning

confidence: 99%

See 3 more Smart Citations