基于离散粒子群算法的管道保温结构优化研究  

Research on Optimization of Pipe Insulation Structure Based on BPSO Algorithm

作　　者：富宇[1] 范亚甜 卢羿州 FU Yu;FAN Yatian;LU Yizhou(School of Computer&Information Technology,Northeast Petroleum University,Daqing 163000,China)

机构地区：[1]东北石油大学,计算机与信息技术学院,黑龙江大庆163000

出　　处：《微型电脑应用》2024年第2期6-9,共4页Microcomputer Applications

基　　金：黑龙江省教育厅人才类项目青年创新人才(UNPYSCT-2020144);黑龙江省校级科研项目引导性创新资金(2021YDL-12)。

摘　　要：针对目前管道保温结构优化算法不稳定、结果优化程度不高的问题,建立以经济效益为目标函数,以满足国家散热损失标准等条件为约束函数的离散型数学模型。以BPSO算法为基础改变其位置更新规则,防止种群进化失效;采用自适应权重增加粒子的全局和局部搜索能力;充分利用模拟退火算法的思想避免出现早熟现象。应用改进的算法分别对普通蒸汽管道和核电站的蒸汽管道进行系统仿真实验。结果表明,该算法能够在满足国家散热损失标准等条件下取得最优解,可以为管道保温结构提供合理的优化方案。In view of the problems that the optimization algorithm of the current pipeline thermal insulation structure is unstable and the degree of optimization of the results is not high,a discrete mathematical model with economic benefits is established as the objective function,and the national heat dissipation loss standard is used as the constraint function.We improve the position update rules of the BPSO algorithm to prevent the swarm evolution from failing.Besides,the adaptive weight is used to increase the global and local search capabilities of the particles.We make full use of the idea of simulated annealing algorithm to avoid premature phenomenon.Combined with the improved algorithm,simulation experiments are carried out on the steam pipelines of ordinary steam pipelines and nuclear power plants,respectively.The results show that the algorithm can obtain the optimal solution under the condition of meeting the national heat dissipation loss standards,and can provide a reasonable optimization scheme for the pipeline insulation structure.

关 键 词：组合优化问题 惯性权重 改进离散粒子群算法 模拟退火算法 约束问题 

分 类 号：TP203[自动化与计算机技术—检测技术与自动化装置]