2022
DOI: 10.1155/2022/2397246
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Multiobjective Optimization Management of Construction Engineering Based on Ant Colony Algorithm

Abstract: In order to solve the problems of extensive management, the construction stage often faces the extension of construction period, excessive cost, and large amount of carbon emission and this paper proposes a multiobjective optimization management method of construction engineering based on ant colony algorithm. Firstly, taking the installation process of laminated plate components as an example, this paper combs the construction process and the consumption types of labor, materials, machinery, or equipment in e… Show more

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Cited by 6 publications
(2 citation statements)
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“…Y Xiang 16 used a multi-objective particle swarm optimization algorithm to solve a multi-objective equilibrium optimization model for schedule, quality, safety and environment of engineering projects. X Liang 17 achieved multi-objective optimization of the construction process at the micro level and used an ant colony algorithm to optimize the cost-duration-carbon model of the assembly building process to obtain different combinations of process execution modes.…”
Section: Introductionmentioning
confidence: 99%
“…Y Xiang 16 used a multi-objective particle swarm optimization algorithm to solve a multi-objective equilibrium optimization model for schedule, quality, safety and environment of engineering projects. X Liang 17 achieved multi-objective optimization of the construction process at the micro level and used an ant colony algorithm to optimize the cost-duration-carbon model of the assembly building process to obtain different combinations of process execution modes.…”
Section: Introductionmentioning
confidence: 99%
“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”
mentioning
confidence: 99%