基于差分进化算法的智能化预制厂房设备资源配置优化  

Optimization of Equipment Resource Allocation in Intelligent Prefabrication Plant Based on Differential Evolution Algorithm

作　　者：王波[1,2] 陈川辉 于竞宇 WANG Bo;CHEN Chuan-hui;YU Jing-yu(School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China;Anhui Key Laboratory of Civil Engineering Structures and Materials,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学土木与水利工程学院,合肥230009 [2]安徽土木工程结构与材料省级重点实验室,合肥230009

出　　处：《科学技术与工程》2023年第25期10941-10947,共7页Science Technology and Engineering

基　　金：国家自然科学基金(51508143)。

摘　　要：优化设备资源配置,有利于提高设备利用率,减少智能化预制厂房建造成本,进而提高企业效益。以大型混凝土构件智能化预制厂房为研究对象,基于智能优化算法,根据预制构件生产流程特点,考虑工人的工作时间及各工序的连续性,构建设备资源配置最优化模型,并在双变异策略的基础上结合自适应变异算子的差分进化算法(differential evolution, DE)对模型进行求解,从而得到混凝土构件智能化预制厂房设备资源配置的最佳方案。Optimizing the allocation of equipment resources is conducive to improving the utilization rate of equipment,reducing the construction cost of intelligent prefabricated plant,and improving the enterprise benefits.Based on the intelligent optimization algorithm,the intelligent prefabrication workshop of large concrete components was taken as the research object.According to the characteristics of the production process of prefabricated components,considering the working time of workers and the continuity of each process,the optimization model of equipment resource allocation was constructed,and the model was solved by combining the differential evolution algorithm of adaptive mutation operator on the basis of double mutation strategy.Thus,the best plan for equipment resource allocation of intelligent prefabricated concrete components workshop was obtained.

关 键 词：智能化预制厂房 设备利用率 优化模型 差分进化算法 

分 类 号：TU712.1[建筑科学—建筑技术科学]