摘要
为研究预制构件生产-运输-装配一体化的建造调度优化问题,构建装配式构件全过程的多目标调度优化模型.优化模型将预制构件3个阶段的优化作为一个扩展的生产车间调度优化,并采用改进的双种群遗传算法对模型进行求解.结果表明:改进的双种群遗传算法能够显著提高遗传算法的搜索效率;优化模型能够有效地减少总完工时间和并行机器的总机器成本.
In order to study the construction scheduling optimization problem of production-transportation-assembly integration of prefabricated components,a multi-objective scheduling optimization model of the whole process fabricated components is constructed.Taking the three-stage optimization of prefabricated components as an extended workshop scheduling optimization,the optimization model is solved by the improved double population genetic algorithm.The results show that the improved double population genetic algorithm can significantly increase the search efficiency of genetic algorithm.The optimization model can effectively reduce the total completion time and the total machine cost of parallel machines.
作者
秦旋
朱倩影
韩家玄
QIN Xuan;ZHU Qianying;HAN Jiaxuan(College of Civil Engineering,Huaqiao University,Xiamen 361021,China)
出处
《华侨大学学报（自然科学版）》
CAS
2023年第3期366-373,共8页
Journal of Huaqiao University(Natural Science)
基金
国家重点研发计划项目(2017YFB0503500)。
关键词
预制构件
生产-运输-装配
调度优化
双种群遗传算法
prefabricated component
production-transport-assembly
scheduling optimization
double population genetic algorithm
