A hybrid optimization method of Multi-Objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) classifier for hydrological model calibration

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3177, Issue , 2004, Pages 546-551

  Liu, Yang ^a   Khu, Soon Thiam ^a   Savic, Dragon ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35048862439     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_80     Document Type: Article

References (9)

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3. Wang Q.J.: The genetic algorithm and its application to calibrating conceptual rainfall-runoff models. Journal of Water Resource Research, Vol. 27, (1991) 2467-2471
4. Khu S.T., Liu Y., Madsen H., Savic D.A.: A fast evolutionary-based meta-modeling approach for the calibration of a rainfall-runoff model. The International Environmental Modeling and Software Society Conference (2004)
5. Khu S.T., Liu Y., Madsen H., Savic D.A.: A fast calibration technique using a hybrid Genetic algorithm - neural network approach: application to rainfall - runoff models, the Sixth International Conference of Hydroinformatics (2004)
6. Khu S.T., Madsen H.: A new approach to multi-criteria calibration of rainfall-runoff model. International Conference on Water and Environment: Watershed Hydrology (2003)
7. Deb K., Agrawal S., Pratap A., Meyarivan T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. IEEE Transactions on Evolutionary Computation, Vol. 6. No. 2, (2002)182-197
8. Dasarathy B.V.: Nearest-Neighbor Classification Techniques. IEEE Computer Society Press, CA (1991)
9. Beale R., Jackson R.: Neural Computing: An Introduction, Institute of Physics Publishing, London (2001)