Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm

Having systematic simulation and optimization models with high computational accuracy is one of the most important problems in developing decision support systems. In the present research, a specific methodology was proposed for decentralized calibration of complex water resources system models by u...

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Autores principales:	Seyed Mohammad Ashrafi, Maral Mahmoudi
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	calibration process dimension melody search algorithm modeling accuracy water resources modeling Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/0ed5775616a84e678754435a4f641baa
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spelling	oai:doaj.org-article:0ed5775616a84e678754435a4f641baa2021-11-05T17:51:13ZDecentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm1464-71411465-173410.2166/hydro.2021.043https://doaj.org/article/0ed5775616a84e678754435a4f641baa2021-09-01T00:00:00Zhttp://jh.iwaponline.com/content/23/5/966https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Having systematic simulation and optimization models with high computational accuracy is one of the most important problems in developing decision support systems. In the present research, a specific methodology was proposed for decentralized calibration of complex water resources system models by using the structural capabilities of the melody search algorithm. This methodology was implemented in the framework of a self-adaptive simulation–optimization model that helps fine-tune complex water resources models by introducing a new definition of the way sub-memories are related to each. The introduced structure aims to achieve the highest possible level of consistency, which is estimated by using different criteria, between model results and observed data at several control points of surface flows. The introduced strategy was put to the test in developing a water resources model for the Great Karun Watershed, Iran, and was found to produce accurate results compared to some other well-known optimization algorithms such as GA, HS, PSO, SGHS, EMPSO, and SaMeS. In an attempt to determine the effect of calibration on water resources system modeling, 16 calibration models of different dimensions are developed and their computational costs are compared in terms of their computation time and effects on the accuracy of the results. HIGHLIGHTS A modified version of melody search algorithm is proposed to calibrate distributed water resources simulation models.; The efficiency of the proposed algorithm in solving calibration problems is evaluated compared to some other well-known metaheuristic algorithms.; The effect of calibration dimension on the result accuracy and the computational cost of the calibration process are considered using 16 different models.;Seyed Mohammad AshrafiMaral MahmoudiIWA Publishingarticlecalibration process dimensionmelody search algorithmmodeling accuracywater resources modelingInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 5, Pp 966-984 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	calibration process dimension melody search algorithm modeling accuracy water resources modeling Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	calibration process dimension melody search algorithm modeling accuracy water resources modeling Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Seyed Mohammad Ashrafi Maral Mahmoudi Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
description	Having systematic simulation and optimization models with high computational accuracy is one of the most important problems in developing decision support systems. In the present research, a specific methodology was proposed for decentralized calibration of complex water resources system models by using the structural capabilities of the melody search algorithm. This methodology was implemented in the framework of a self-adaptive simulation–optimization model that helps fine-tune complex water resources models by introducing a new definition of the way sub-memories are related to each. The introduced structure aims to achieve the highest possible level of consistency, which is estimated by using different criteria, between model results and observed data at several control points of surface flows. The introduced strategy was put to the test in developing a water resources model for the Great Karun Watershed, Iran, and was found to produce accurate results compared to some other well-known optimization algorithms such as GA, HS, PSO, SGHS, EMPSO, and SaMeS. In an attempt to determine the effect of calibration on water resources system modeling, 16 calibration models of different dimensions are developed and their computational costs are compared in terms of their computation time and effects on the accuracy of the results. HIGHLIGHTS A modified version of melody search algorithm is proposed to calibrate distributed water resources simulation models.; The efficiency of the proposed algorithm in solving calibration problems is evaluated compared to some other well-known metaheuristic algorithms.; The effect of calibration dimension on the result accuracy and the computational cost of the calibration process are considered using 16 different models.;
format	article
author	Seyed Mohammad Ashrafi Maral Mahmoudi
author_facet	Seyed Mohammad Ashrafi Maral Mahmoudi
author_sort	Seyed Mohammad Ashrafi
title	Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
title_short	Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
title_full	Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
title_fullStr	Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
title_full_unstemmed	Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
title_sort	decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/0ed5775616a84e678754435a4f641baa
work_keys_str_mv	AT seyedmohammadashrafi decentralizedcalibrationprocessfordistributedwaterresourcessystemsusingtheselfadaptivemultimemorymelodysearchalgorithm AT maralmahmoudi decentralizedcalibrationprocessfordistributedwaterresourcessystemsusingtheselfadaptivemultimemorymelodysearchalgorithm
_version_	1718444082579111936

Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm

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