2018
DOI: 10.1016/j.istruc.2018.10.007
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Optimum Design of Stay Cables of Steel Cable-stayed Bridges Using Nonlinear Inelastic Analysis and Genetic Algorithm

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Cited by 59 publications
(18 citation statements)
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“…This paper adopted Roulette Wheel Selection as the selection method [23][24][25][26]. Individuals with high fitness values (low LCC value) have a higher probability of being selected, while individuals with low fitness values (high LCC value) have a higher probability of being eliminated.…”
Section: Selection Crossover and Mutation Operationsmentioning
confidence: 99%
“…This paper adopted Roulette Wheel Selection as the selection method [23][24][25][26]. Individuals with high fitness values (low LCC value) have a higher probability of being selected, while individuals with low fitness values (high LCC value) have a higher probability of being eliminated.…”
Section: Selection Crossover and Mutation Operationsmentioning
confidence: 99%
“…[13] designed an optimization method for the minimum cost design of a pre-stressed concrete cablestayed bridge; the number of pre-stressed tendons in the beam, the cable forces of the beam and pylon, the cable size and section area were taken as the design variables, and the stress and displacement constraints were applied to ensure the safe use of the bridge structure. In 2018, Ha et al [14] created an effective optimization method for cables of steel cable-stayed bridge, with the aid of nonlinear inelastic analysis and a micro GA; the main innovation lies in the optimization of initial tension and total weight of the cables. In 2018, Song et al [15] put forward a counterweight-based optimization method for cable forces of long-span asymmetric cable-stayed bridge, which optimizes the cable forces through the variable step search of design variables like cable forces, load, and counterweight range.…”
Section: Introductionmentioning
confidence: 99%
“…The efficiency of meta-heuristic algorithms for structural design has been proved by the results of many studies in the literature, for example, Refs. [1][2][3][4][5][6][7][8]. Besides that, lots of meta-heuristic algorithms have been proposed such as big bang-big crunch (BB-BC) [9], Truong, V.-H., et al / Journal of Science and Technology in Civil Engineering differential evolution (DE) [10], enhanced colliding bodies optimization (ECBO) [11], and harmony search (HS) [12].…”
Section: Introductionmentioning
confidence: 99%