Multi-objective management of saltwater intrusion in coastal aquifers using genetic programming and modular neural network based surrogate models

Journal of Hydrology

Volumn 393, Issue 3-4, 2010, Pages 245-256

  Sreekanth, J ^a   Datta, Bithin ^b  

^a JAMES COOK UNIVERSITY   (Australia)

^b Cooperative Research Centre for Contamination Assessment and Remediation of the EnvironmentCRC CARE ^*  (Australia)

Author keywords

Coastal aquifer; Genetic programming; Modular neural network; Pumping optimization; Salinity intrusion; Surrogate model

Indexed keywords

COASTAL AQUIFERS; MODULAR NEURAL NETWORKS; PUMPING OPTIMIZATION; SALINITY INTRUSION; SURROGATE MODEL;

AQUIFERS; COMPUTER PROGRAMMING; EVOLUTIONARY ALGORITHMS; FUEL ADDITIVES; GROUNDWATER RESOURCES; HYDROGEOLOGY; MULTIOBJECTIVE OPTIMIZATION; PUMPS; SALINITY MEASUREMENT; SALT WATER INTRUSION; SECURITY OF DATA;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COASTAL AQUIFER; CONCENTRATION (COMPOSITION); GENETIC ALGORITHM; GROUNDWATER ABSTRACTION; INPUT-OUTPUT ANALYSIS; OPTIMIZATION; PARSIMONY ANALYSIS; PERFORMANCE ASSESSMENT; PUMPING; SALINE INTRUSION; SALINITY; SURROGATE METHOD; WATER MANAGEMENT;

EID: 77957874307     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.08.023     Document Type: Article

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