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王应武, 陈栋格.基于磷虾觅食算法-最大熵投影寻踪模型的区域水安全评价水资源与水工程学报[J].,2017,28(5):80-86
基于磷虾觅食算法-最大熵投影寻踪模型的区域水安全评价
Regional water security evaluation based on krill herd algorithm-maximum entropy projection pursuit model
  
DOI:10.11705/j.issn.1672-643X.2017.05.14
中文关键词:  水安全  最大熵投影寻踪  指标体系  磷虾觅食算法  人工蜂群算法  文化算法  粒子群优化算法  云南省
英文关键词:water security  maximum entropy projection pursuit  index system  krill herd algorithm  artificial bee colony algorithm  cultural algorithm  particle swarm optimization algorithm  Yunnan Province
基金项目:国家水体污染控制与治理科技重大专项(201307102-006-01),院士工作站建设专项(2015IC013)
作者单位
王应武, 陈栋格 云南省水利水电勘测设计研究院 云南 昆明 650021 
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中文摘要:
      从总量红线、效率红线、纳污红线3个方面遴选12个指标构建最严格水资源管理约束下的区域水安全评价指标体系和分级标准。提出磷虾觅食算法(KH)-最大熵投影寻踪(MEPP)水安全评价模型,并构建人工蜂群(ABC)算法、文化算法(CA)和粒子群优化(PSO)算法- MEPP评价模型作对比,以云南省所辖16个行政分区水安全评价为例进行实例研究。结果表明:KH算法寻优精度优于ABC、CA和PSO算法,具有较好的全局极值寻优能力。KH-MEPP模型对迪庆州、德宏州、怒江州和西双版纳州水安全评价为“安全”;丽江市评价为“不安全”;其余行政分区评价为“基本安全”。KH-MEPP模型对云南省16个行政分区评价结果与PSO-MEPP模型相同,但在排序上存在差异;与CA-MEPP、ABC-MEPP模型在评价结果及排序上均存在差异。
英文摘要:
      According to 12 indicators selected from three aspects of the total red line, the efficiency of the red line, accept the red line, the regional water safety evaluation index system and grading standards were built under the most stringent water resources management constraints. Krill foraging algorithm (KH) - Maximum Entropy Projection Pursuit (MEPP) water security evaluation was proposed, and Artificial Bee Colony (ABC) algorithm, cultural algorithm (CA) were constructed to compare with the particle swarm optimization (PSO) algorithm - MEPP evaluation model. A case study on water security of 16 administrative regions in Yunnan Province was carried out. The results show that the optimization accuracy of KH algorithm is better than that of ABC, CA and PSO algorithm, and has good global extremum search ability. The KH-MEPP model evaluates the water security of Diqing, Dehong, Nujiang and Xishuangbanna as safe, and Lijiang is evaluated as “unsafe”. The rest of the administrative regions are rated as “basically safe ”. The results of the KH-MEPP model are the same as those of the PSO-MEPP model in Yunnan Province, but there are differences in the sorting. The results of CA-MEPP and ABC-MEPP are different in the evaluation results and ranking.
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