自动化与仪器仪表2024,Issue(3) :127-130.DOI:10.14016/j.cnki.1001-9227.2024.03.127

基于改进GA算法的城市施工智能规划管理系统优化设计

Optimization design of intelligent planning management system for urban construction based on improved GA algorithm

李华
自动化与仪器仪表2024,Issue(3) :127-130.DOI:10.14016/j.cnki.1001-9227.2024.03.127

基于改进GA算法的城市施工智能规划管理系统优化设计

Optimization design of intelligent planning management system for urban construction based on improved GA algorithm

李华1
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作者信息

  • 1. 西安外事学院,西安 710077
  • 折叠

摘要

为再进一步落实国家绿色发展要求,优化城市施工过程,提出一种基于改进快速非支配方法遗传算法INSGA2的城市绿色施工智能规划模型.其中,使用多目标集成管理模型进行工程规划,使用模糊测度Me法进行多 目标均衡模型的构建,使用遗传算法作为模型的基本求解方法.实验结果表明,与传统的遗传算法相比,设计的INSGA2算法具有更好的优化效果,仅需60次左右迭代便可达到最优状态;设计的多 目标集成规划管理模型进行工程管理规划时能够在保证环保和质量要求的同时进一步压缩工期,节省时间成本.综上,设计的城市绿色施工规划管理模型能够在满足绿色建设的同时进一步优化工程质量,能够为实际的工程建设提供参考,可行性较高.

Abstract

To further implement the national green development requirements and optimize the urban construction process,an in-telligent planning model for urban green construction based on the improved fast non dominated genetic algorithm INSGA2 is pro-posed.Among them,a multi-objective integrated management model is used for engineering planning,the fuzzy measure Me method is used to construct a multi-objective equilibrium model,and genetic algorithm is used as the basic solution method for the model.The experimental results show that compared with traditional genetic algorithms,the designed INSGA2 algorithm has better optimiza-tion performance,requiring only about 60 iterations to reach the optimal state;The multi-objective integrated planning management model designed for engineering management planning can further compress the construction period while ensuring environmental pro-tection and quality requirements,saving time and costs.In summary,the designed urban green construction planning and manage-ment model can further optimize project quality while meeting the requirements of green construction,and can provide reference for actual engineering construction,with high feasibility.

关键词

绿色施工/多目标集成管理/模型构建/遗传算法

Key words

green construction/multi objective integrated management/model construction/genetic algorithm

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出版年

2024
自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
参考文献量14
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