A genetic algorithm-based fuzzy multi-objective programming approach for environmental water allocation

A fuzzy multiobjective-programming model was presented to determine appropriate environmental flow allocation in urban rivers. An integrated nonlinear fuzzy membership function, that represents a broader implication in fuzzy decision-making, was regarded as the general objective and genetic algorith...

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Bibliographic Details
Published in:Water science & technology. Water supply 2006-01, Vol.6 (5), p.43-50
Main Authors: Yang, W, Sun, D Z
Format: Article
Language:English
Subjects:
Algorithms
Case studies
Decision making
Decision theory
Environmental management
Freshwater
Genetic algorithms
Liming
Marine environment
Mathematical models
Mathematical programming
Multiple objective analysis
River basins
Rivers
Water allocation
Water requirements
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Summary:A fuzzy multiobjective-programming model was presented to determine appropriate environmental flow allocation in urban rivers. An integrated nonlinear fuzzy membership function, that represents a broader implication in fuzzy decision-making, was regarded as the general objective and genetic algorithm became an essential tool in search for the global optimal solution. A case study of optimal allocation for environmental water requirements in the Liming River Basin, Daqing, demonstrates the capability of the fuzzy multiobjective model based on fuzzy decision theories to work suitably in water environmental management in a river basin.
ISSN:1606-9749
1607-0798
DOI:10.2166/ws.2006.763