Parameter identification for a water quality model using two hybrid swarm intelligence algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-015-1684-7.pdf
Reference52 articles.
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4. Boyle DP, Gupta HV, Sorooshian S (2000) Towards improved calibration of hydrologic models: combining the strengths of manual and automatic methods. Water Resour Res 36(12):3663–3674
5. Campolongo F, Cariboni J, Saltelli A (2007) An effective screening design for sensitivity analysis of large models. Environ Model Softw 22(10):1509–1518
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