摘要
本文以城市水环境治理绿色施工为目标,开展基于遗传算法的多目标优化研究,在明确绿色施工管理目标的基础上,构建以质量、进度、费用、环保为控制因素的绿色施工多目标优化模型。本文分析了采用遗传算法对绿色施工进行优化求解的思路,以及进行优化计算所需的参数及取值。工程应用表明,采用遗传算法对典型水环境治理项目绿色施工进行优化后,在满足绿色施工要求及工程质量的前提下,项目工期及费用都达到了相对较优的水平。
Green construction of urban water environment governance is adopted as the goal in the paper. The multi-objective optimization research based on genetic algorithm is implemented. A multi-objective optimization model of green construction with quality, schedule, cost and environmental protection as the control factors is constructed on the basis of making clear green construction management objectives. The idea of adopting genetic algorithm to optimize green construction, the parameters and values for optimization calculation are analyzed in the paper. The engineering application shows that the project duration and cost reach relatively better level under the premise of meeting the requirements of green construction and engineering quality after green construction of typical water environment control projects is optimized by using genetic algorithm.
作者
李新
薛振宁
黄健
LI Xin;XUE Zhenning;HUANG Jian(Jiangsu Vocational Institute of Architectural Technology,Xuzhou 221116,China;Xuzhou Water Conservancy Construction Management Center,Xuzhou 221000,China;Xuzhou Hydraulic Engineering Construction Co.,Ltd.,Xuzhou 221006,China)
出处
《水利建设与管理》
2022年第3期38-43,共6页
Water Conservancy Construction and Management
基金
江苏省住房和城乡建设厅2019年省建设系统科技项目(2019ZD084)
江苏建筑职业技术学院2020年校级科研项目(JYJBZX20-07)。
关键词
遗传算法
水环境治理
绿色施工
多目标优化
genetic algorithm
water environment governance
green construction
multi-objective optimization
