Automatic calibration of numerical models using fast optimisation by fitness approximation

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 1073-1078

  Liu, Yang ^a   Khu, Soon Thiam ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CALIBRATION; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER NETWORKS; DIESEL ENGINES; GENETIC ALGORITHMS; LEARNING SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; NUMERICAL METHODS; PARETO PRINCIPLE; POLYNOMIAL APPROXIMATION; SOLUTIONS;

NSGA-II; NUMERICAL MODELLING;

POPULATION STATISTICS;

EID: 51749096177     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371107     Document Type: Conference Paper

References (6)

1. Madsen H., 2000. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. Journal of Hydrology. 235, 276-288.
2. Jin Y., 2005. Comprehensive survey of fitness approximation in evolutionary computation. Soft Computing. 9, 3-12.
3. Liu Y., Khu S.T., Savic D.A., 2004. A fast hybrid optimisation method of multi-objective genetic algorithm and k-nearest neighbour classifier for hydrological model calibration. In 5th International Conference of Intelligent Data Engineering and Automated Learning, UK.
4. Nain P.K.S., Deb K., 2005. A multi-objective optimisation procedure with successive approximation models. Kan GAL Report No.2005002. Kanpur, India: Department of Mechanical Engineering, IIT Kanpur.
5. Yan, S., Minsker, B.S., 2005. Optimal groundwater remediation design trust region based models within a genetic algorithm. American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2005 & Related Symposia, Anchorage, AK.
6. Deb K., Agrawal S., Pratap A., Meyarivan T., 2002. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimisation: NSGA-II. IEEE Transactions on Evolutionary Computation. 6(2), 182-197.