不同优化算法在稳压器重量优化中的比较  

Comparison of different optimization algorithms in weight optimization of a pressurizer

作　　者：黎春梅[1] 李毅[1] 刘立志[1] 郝承明[1] 孙冠宇 张骐 王艺 颉利东 苗怡然 夏军宝 严思伟 LI Chunmei;LI Yi;LIU Lizhi;HAO Chengming;SUN Guanyu;ZHANG Qi;WANG Yi;XIE Lidong;MIAO Yiran;XIA Junbao;YAN Siwei(Science and Technology on Reactor System Design Technology Laboratory,Nuclear Power Institute of China,Chengdu 610041,China)

机构地区：[1]中国核动力研究设计院核反应堆系统设计技术国家级重点实验室,四川成都610213

出　　处：《应用科技》2020年第2期98-103,共6页Applied Science and Technology

基　　金：核反应堆系统设计技术重点实验室项目.

摘　　要：为解决核动力装置优化设计的方法问题,以压水反应堆核动力系统中关键设备之一稳压器为研究对象,开展重量优化设计分析。选择改进复合形算法、遗传算法、粒子群算法等作为代表性优化算法,比较了3种优化算法的全局性、收敛性、稳定性和计算效率等方面的性能。研究结果表明,对于稳压器重量优化问题,遗传算法和粒子群算法均具有良好的全局性;改进复合形算法则在收敛速度和计算效率方面具有优势。研究结果可以为核动力装置优化设计方法设计提供参考。In order to supply a feasible method to optimize the design of nuclear power plant,the case study on the weight optimization of pressurizer,which is one of the key devices in nuclear power system with pressurized water reactor,is performed in this paper.The improved complex algorithm,genetic algorithm and particle swam algorithm are incorporated in the optimization case study as representative algorithms.Such performance as global optimization,convergence,stability and efficiency are compared among three selected algorithms.The results show that in aspect of the pressurizer weight optimization,the genetic algorithm can find global optimization scheme in greater possibility as well as the particle swam algorithm,while the improved complex algorithm takes the advantage in aspects of convergence and efficiency.The findings in this paper are beneficial to the optimization of nuclear power plant.

关 键 词：稳压器 优化设计 重量优化 改进复合形算法 遗传算法 粒子群算法 核动力装置优化 收敛性 

分 类 号：TL339[核科学技术—核技术及应用]