文章摘要
陈 哲, 杨 侃, 吴 云, 汤梓杰, 张天衍, 赵友成.基于SEOA算法的水库调度优化配置模型应用研究Journal of Water Resources and Water Engineering[J].,2019,30(5):170-175
基于SEOA算法的水库调度优化配置模型应用研究
Application research on optimal configuration model of reservoir scheduling based on SEOA algorithm
  
DOI:10.11705/j.issn.1672-643X.2019.05.25
中文关键词: 水库调度  最小缺水量  社会情感优化算法(SEOA)  直线优化  动态情绪阈值
英文关键词: reservoir scheduling  minimum water shortage  social sentiment optimization algorithm(SEOA)  straight line optimization  dynamic emotional threshold
基金项目:山西省水利科学技术研究与推广项目; 云南省水利厅科技项目; 国家重点基础研究发展计划(973计划)项目(2012CB417006); “十一五”国家科技支撑计划项目(2009BAC56B03
Author NameAffiliation
CHEN Zhe1, YANG Kan1, WU Yun2, TANG Zijie1, ZHANG Tianyan1, ZHAO Youcheng3 (1.河海大学 水文水资源学院 江苏 南京 210098 2.山西水利职业技术学院山西 运城 044004 3.句容水利农机局 江苏 句容 212400) 
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中文摘要:
      针对水库调度配置中求解最小缺水量的问题,采用社会情感优化算法(SEOA算法),并在生成初始种群和算法收敛速度两方面进行改进,最后将改进后的算法运用到东榆林水库。结果表明:改进后的SEOA算法在水库调度最小缺水量问题中具有效率高、计算量少、寻优能力强的优点,有着一定的实用价值。
英文摘要:
      Aiming at the problem of solving the minimum water shortage in the reservoir dispatching configuration, the social sentiment optimization algorithm (SEOA algorithm) was adopted, and the initial population and the convergence speed of the algorithm were improved, and the new algorithm was applied to the Dongyulin Reservoir. The results showed that the improved SEOA algorithm has the advantages of high efficiency, low computational complexity and strong searching ability in the problem of minimum water shortage in reservoir scheduling, which has practical values.
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