An agent-based model for water allocation optimization and comparison with the game theory approach

Despite the advancement of technical tools for the analysis of complex systems, the most important issue in solving water resource problems focuses on the interaction of human and natural systems. Agent-Based Model (ABM) has been used as an effective tool for the development of integrated human and...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Mahsa Noori, Alireza Emadi, Ramin Fazloula
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	agent-based models cooperative game theory optimal water allocation tajan basin water resources management Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/b55e0c9421bc48d3b1ca4a3a8c25d6fe
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b55e0c9421bc48d3b1ca4a3a8c25d6fe
record_format	dspace
spelling	oai:doaj.org-article:b55e0c9421bc48d3b1ca4a3a8c25d6fe2021-11-23T18:56:11ZAn agent-based model for water allocation optimization and comparison with the game theory approach1606-97491607-079810.2166/ws.2021.124https://doaj.org/article/b55e0c9421bc48d3b1ca4a3a8c25d6fe2021-11-01T00:00:00Zhttp://ws.iwaponline.com/content/21/7/3584https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Despite the advancement of technical tools for the analysis of complex systems, the most important issue in solving water resource problems focuses on the interaction of human and natural systems. Agent-Based Model (ABM) has been used as an effective tool for the development of integrated human and environmental models. One of the main challenges of this method is identifying and describing the main agents. In this study, three main approaches including Genetic Algorithm (GA), cooperative game theory and ABM have been used to optimize water allocation in Tajan catchment. The proposed ABM is a new equation for calculating stakeholder utility and simulating their interactions that can create a hydrological-environmental-human relationship for demand management and optimal water allocation. The results showed that the total benefit of cooperative game theory and ABM relative to GA has been increased 24% and 21% respectively. Although the total benefit in game theory is greater than the ABM, but the ABM considering the agents feedback propose a more comprehensive approach to optimal water allocation. HIGHLIGHTS Combining of GA optimization model with ABM.; The total benefit of game theory and ABM is significantly more than the GA.; Proposing an Agent-Based Equation to solve water conflicts and finding solutions based on social and hydrological interactions.; Comparing the results of game theory and the proposed ABM and GA in water allocation to stakeholders.;Mahsa NooriAlireza EmadiRamin FazloulaIWA Publishingarticleagent-based modelscooperative game theoryoptimal water allocationtajan basinwater resources managementWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 7, Pp 3584-3601 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	agent-based models cooperative game theory optimal water allocation tajan basin water resources management Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	agent-based models cooperative game theory optimal water allocation tajan basin water resources management Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Mahsa Noori Alireza Emadi Ramin Fazloula An agent-based model for water allocation optimization and comparison with the game theory approach
description	Despite the advancement of technical tools for the analysis of complex systems, the most important issue in solving water resource problems focuses on the interaction of human and natural systems. Agent-Based Model (ABM) has been used as an effective tool for the development of integrated human and environmental models. One of the main challenges of this method is identifying and describing the main agents. In this study, three main approaches including Genetic Algorithm (GA), cooperative game theory and ABM have been used to optimize water allocation in Tajan catchment. The proposed ABM is a new equation for calculating stakeholder utility and simulating their interactions that can create a hydrological-environmental-human relationship for demand management and optimal water allocation. The results showed that the total benefit of cooperative game theory and ABM relative to GA has been increased 24% and 21% respectively. Although the total benefit in game theory is greater than the ABM, but the ABM considering the agents feedback propose a more comprehensive approach to optimal water allocation. HIGHLIGHTS Combining of GA optimization model with ABM.; The total benefit of game theory and ABM is significantly more than the GA.; Proposing an Agent-Based Equation to solve water conflicts and finding solutions based on social and hydrological interactions.; Comparing the results of game theory and the proposed ABM and GA in water allocation to stakeholders.;
format	article
author	Mahsa Noori Alireza Emadi Ramin Fazloula
author_facet	Mahsa Noori Alireza Emadi Ramin Fazloula
author_sort	Mahsa Noori
title	An agent-based model for water allocation optimization and comparison with the game theory approach
title_short	An agent-based model for water allocation optimization and comparison with the game theory approach
title_full	An agent-based model for water allocation optimization and comparison with the game theory approach
title_fullStr	An agent-based model for water allocation optimization and comparison with the game theory approach
title_full_unstemmed	An agent-based model for water allocation optimization and comparison with the game theory approach
title_sort	agent-based model for water allocation optimization and comparison with the game theory approach
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/b55e0c9421bc48d3b1ca4a3a8c25d6fe
work_keys_str_mv	AT mahsanoori anagentbasedmodelforwaterallocationoptimizationandcomparisonwiththegametheoryapproach AT alirezaemadi anagentbasedmodelforwaterallocationoptimizationandcomparisonwiththegametheoryapproach AT raminfazloula anagentbasedmodelforwaterallocationoptimizationandcomparisonwiththegametheoryapproach AT mahsanoori agentbasedmodelforwaterallocationoptimizationandcomparisonwiththegametheoryapproach AT alirezaemadi agentbasedmodelforwaterallocationoptimizationandcomparisonwiththegametheoryapproach AT raminfazloula agentbasedmodelforwaterallocationoptimizationandcomparisonwiththegametheoryapproach
_version_	1718416176939270144

An agent-based model for water allocation optimization and comparison with the game theory approach

Ejemplares similares