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轨道交通车站项目施工多目标均衡优化研究

Research on Multi-objective Equilibrium Optimization for Construction of Rail Transit Station Projects
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摘要 针对轨道交通车站项目施工复杂的问题,提出综合工期、成本、质量和安全目标的均衡优化策略。在分析工期、成本、质量和安全四个目标的关联性基础上,建立多目标均衡优化模型。结合多属性效用原则,构建多目标优化的目标函数;基于粒子群算法,对多变量问题进行寻优求解。算例数据表明,在保证质量指标和安全指标的前提下,经过均衡优化的总工期为538天,符合工期要求;经过均衡优化的总成本为5473万元,实现毛利率为37.1%,利润可观。 In response to the complex construction issues of rail transit station projects,a balanced optimization strategy is proposed for comprehensive construction period,cost,quality,and safety objectives.Based on the analysis of the correlation between the four objectives of construction period,cost,quality,and safety,a multi-objective equilibrium optimization model is established.Combining the principle of multi-attribute utility,construct an objective function for multi-objective optimization;Based on particle swarm optimization algorithm,optimize and solve multivariable problems.The example data shows that under the premise of ensuring quality and safety indicators,the total construction period after balanced optimization is 538 days,which meets the requirements of the construction period;After balanced optimization,the total cost is 54.73 million yuan,achieving a gross profit margin of 37.1%and a considerable profit margin.
作者 倪远红 Ni Yuanhong(China Railway 22nd Bureau Group Fifth Engineering Co.,Ltd.,Chongqing,China)
出处 《科学技术创新》 2024年第1期187-190,共4页 Scientific and Technological Innovation
关键词 轨道交通 车站项目 均衡优化 粒子群算法 rail transit station project balanced optimization particle swarm optimization
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