Multi-objective optimization of regional water resources based on mixed genetic algorithm

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice

Volumn 29, Issue 1, 2009, Pages 139-144

  Sun, Yue Feng ^a   Zhang, Sheng Hong ^b   Wang, Xiao Ling ^a   Mei, Chuan Shu ^b  

^a TIANJIN UNIVERSITY   (China)

^b YANGTZE RIVER SCIENTIFIC RESEARCH INSTITUTE   (China)

Author keywords

Environmental water demand; Mixed genetic algorithm; Optimal allocation; Region

Indexed keywords

ALGORITHMS; GENETIC ALGORITHMS; HYDRAULIC MODELS; LARGE SCALE SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PROGRAMMING THEORY; SIMULATED ANNEALING; SYSTEMS ENGINEERING; WATER POLLUTION; WATER QUALITY;

COORDINATION DEGREES; ECOLOGICAL WATER REQUIREMENTS; ENVIRONMENTAL WATER DEMAND; GENETIC SIMULATED ANNEALING ALGORITHMS; MIXED GENETIC ALGORITHM; MULTI OBJECTIVES; MULTI-OBJECTIVE OPTIMIZATIONS; OPTIMAL ALLOCATION; REGION; REGIONAL WATER RESOURCES; RESOURCES OPTIMIZATIONS; THEORY OF LARGE-SCALE SYSTEMS; WATER DEMANDS; WATER QUANTITIES;

WATER RESOURCES;

EID: 60149109660     PISSN: 10006788     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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