Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models

Alireza NAZEMI; Andrew H.C. CHAN; Xin YAO

Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models

Alireza NAZEMI^*, Andrew H.C. CHAN, Xin YAO

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

In this paper, the incorporation of parametric likelihood information into NSGAII algorithm has been attempted in order to preserve solutions with more overall likelihood. The crowded comparison operator in NSGA-II, which is used to select the potential solutions for the next generation, is substituted by likelihood comparison operator which includes the consideration of the likelihood information about the potential solutions rather than their distance from each other. As a result the potential solution with higher overall likelihood measure has more chance to be selected in the next generation. Three different scenarios for the estimation of overall likelihood measure are presented. The modified algorithm is used for calibration of two different conceptual rainfall-runoff models in 24 USA MOPEX catchments. The results show that the new modification results to different searching process which can be compared with NSGA-II from different perspectives.

Original language	English
Title of host publication	Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
Editors	Miquel SÀNCHEZ MARRÈ, Javier BÉJAR, Joaquim COMAS, Andrea E. RIZZOLI, Giorgio GUARISO
Pages	346-353
Number of pages	8
Publication status	Published - 2008
Externally published	Yes
Event	4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 - Barcelona, Catalonia, Spain Duration: 7 Jul 2008 → 10 Jul 2008

Conference

Conference	4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
Country/Territory	Spain
City	Barcelona, Catalonia
Period	7/07/08 → 10/07/08

Keywords

Likelihood comparison operator
Multi-objective calibration
NSGA-II
Parametric Likelihood
Rainfall-Runoff models

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https://scholarsarchive.byu.edu/iemssconference/2008/all/134

Cite this

NAZEMI, A., CHAN, A. H. C., & YAO, X. (2008). Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models. In M. SÀNCHEZ MARRÈ, J. BÉJAR, J. COMAS, A. E. RIZZOLI, & G. GUARISO (Eds.), Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 (pp. 346-353) https://scholarsarchive.byu.edu/iemssconference/2008/all/134

NAZEMI, Alireza ; CHAN, Andrew H.C. ; YAO, Xin. / Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models. Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. editor / Miquel SÀNCHEZ MARRÈ ; Javier BÉJAR ; Joaquim COMAS ; Andrea E. RIZZOLI ; Giorgio GUARISO. 2008. pp. 346-353

@inproceedings{fb3867059e2644f5a7adb9e239e5799f,

title = "Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models",

abstract = "In this paper, the incorporation of parametric likelihood information into NSGAII algorithm has been attempted in order to preserve solutions with more overall likelihood. The crowded comparison operator in NSGA-II, which is used to select the potential solutions for the next generation, is substituted by likelihood comparison operator which includes the consideration of the likelihood information about the potential solutions rather than their distance from each other. As a result the potential solution with higher overall likelihood measure has more chance to be selected in the next generation. Three different scenarios for the estimation of overall likelihood measure are presented. The modified algorithm is used for calibration of two different conceptual rainfall-runoff models in 24 USA MOPEX catchments. The results show that the new modification results to different searching process which can be compared with NSGA-II from different perspectives.",

keywords = "Likelihood comparison operator, Multi-objective calibration, NSGA-II, Parametric Likelihood, Rainfall-Runoff models",

author = "Alireza NAZEMI and CHAN, {Andrew H.C.} and Xin YAO",

year = "2008",

language = "English",

isbn = "9788476530740",

pages = "346--353",

editor = "{S{\`A}NCHEZ MARR{\`E}}, Miquel and Javier B{\'E}JAR and Joaquim COMAS and RIZZOLI, {Andrea E.} and Giorgio GUARISO",

booktitle = "Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008",

note = "4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 ; Conference date: 07-07-2008 Through 10-07-2008",

}

NAZEMI, A, CHAN, AHC & YAO, X 2008, Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models. in M SÀNCHEZ MARRÈ, J BÉJAR, J COMAS, AE RIZZOLI & G GUARISO (eds), Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. pp. 346-353, 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008, Barcelona, Catalonia, Spain, 7/07/08. <https://scholarsarchive.byu.edu/iemssconference/2008/all/134>

Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models. / NAZEMI, Alireza; CHAN, Andrew H.C.; YAO, Xin.
Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. ed. / Miquel SÀNCHEZ MARRÈ; Javier BÉJAR; Joaquim COMAS; Andrea E. RIZZOLI; Giorgio GUARISO. 2008. p. 346-353.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models

AU - NAZEMI, Alireza

AU - CHAN, Andrew H.C.

AU - YAO, Xin

PY - 2008

Y1 - 2008

N2 - In this paper, the incorporation of parametric likelihood information into NSGAII algorithm has been attempted in order to preserve solutions with more overall likelihood. The crowded comparison operator in NSGA-II, which is used to select the potential solutions for the next generation, is substituted by likelihood comparison operator which includes the consideration of the likelihood information about the potential solutions rather than their distance from each other. As a result the potential solution with higher overall likelihood measure has more chance to be selected in the next generation. Three different scenarios for the estimation of overall likelihood measure are presented. The modified algorithm is used for calibration of two different conceptual rainfall-runoff models in 24 USA MOPEX catchments. The results show that the new modification results to different searching process which can be compared with NSGA-II from different perspectives.

AB - In this paper, the incorporation of parametric likelihood information into NSGAII algorithm has been attempted in order to preserve solutions with more overall likelihood. The crowded comparison operator in NSGA-II, which is used to select the potential solutions for the next generation, is substituted by likelihood comparison operator which includes the consideration of the likelihood information about the potential solutions rather than their distance from each other. As a result the potential solution with higher overall likelihood measure has more chance to be selected in the next generation. Three different scenarios for the estimation of overall likelihood measure are presented. The modified algorithm is used for calibration of two different conceptual rainfall-runoff models in 24 USA MOPEX catchments. The results show that the new modification results to different searching process which can be compared with NSGA-II from different perspectives.

KW - Likelihood comparison operator

KW - Multi-objective calibration

KW - NSGA-II

KW - Parametric Likelihood

KW - Rainfall-Runoff models

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M3 - Conference paper (refereed)

AN - SCOPUS:84858300819

SN - 9788476530740

SP - 346

EP - 353

BT - Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

A2 - SÀNCHEZ MARRÈ, Miquel

A2 - BÉJAR, Javier

A2 - COMAS, Joaquim

A2 - RIZZOLI, Andrea E.

A2 - GUARISO, Giorgio

T2 - 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

Y2 - 7 July 2008 through 10 July 2008

ER -

NAZEMI A, CHAN AHC, YAO X. Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models. In SÀNCHEZ MARRÈ M, BÉJAR J, COMAS J, RIZZOLI AE, GUARISO G, editors, Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software : Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. 2008. p. 346-353

Incorporating likelihood information into multi-objective calibration of conceptual rainfall-runoff models

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