混合微粒群算法在碾压混凝土坝“工期固定、资源均衡”优化中的应用  

Application of Hybrid Particle Swarm Optimizer in the Optimization of“Construction Period Fixed and Resource Leveling”for RCC Dam

作　　者：李红亮 李双 LI Hong-liang;LI Shuang(Yellow River Engineering Consulting CO.,LTD.Zhengzhou 450003,Henan Province,China)

机构地区：[1]黄河勘测规划设计研究院有限公司,河南郑州450003

出　　处：《中国农村水利水电》2025年第2期188-192,200,共6页China Rural Water and Hydropower

基　　金：国家重点研发计划项目(2023YFC3208605)。

摘　　要：为制定碾压混凝土坝资源均衡性更优的网络计划,以提高资源利用率、降低工程投资,提出把混合微粒群算法应用于碾压混凝土坝“工期固定、资源均衡”优化中。搭建以工序开始时间为自变量的资源强度方差评价函数,把模拟退火算法作为微粒群算法的收敛判据以提高其全局收敛能力和收敛精度,引入基于动态时差的速度检测方法,使混合微粒群算法与碾压混凝土坝“工期固定、资源均衡”优化有效融合,建立多约束下的优化数学模型。在工程实例应用中,计算获得了资源均衡性更优的网络计划,验证了把混合微粒群算法应用于碾压混凝土坝“工期固定、资源均衡”优化中是合理的、有效的,较传统方法收敛速度更快、成果更优。In order to make a network plan better resource leveling for roller compacted concrete(RCC)dams,so as to improve resource utilization and reduce engineering investment,the paper applies the hybrid particle swarm(Hybrid PSO)to the optimization of“Construction Period Fixed and Resource Leveling”of RCC Dam.A resource intensity variance evaluation function with process start time as independent variable is constructed,and simulated annealing(SA)algorithm is used as the convergence criterion of particle swarm optimization(PSO)algorithm to improve its global convergence ability and convergence accuracy.A speed detection method based on dynamic time difference is introduced,the Hybrid PSO is effectively integrated with“Construction Period Fixed and Resource Leveling”of RCC Dam,and an optimization mathematical model under multiple constraints is established.In the application of engineering case study,we calculate and obtain network plan with better resource leveling,and verify that the application of the Hybrid PSO in“construction period fixed and resource leveling”of RCC Dam is reasonable and effective,the convergence speed is faster and the results are better than traditional methods.

关 键 词：碾压混凝土坝 工期固定、资源均衡 混合微粒群算法 资源强度方差 动态时差 

分 类 号：TV51[水利工程—水利水电工程] TV642.2