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

2021 ◽  
Author(s):  
Mahsa Noori ◽  
Alireza Emadi ◽  
Ramin Fazloula
Keyword(s):  
Genetic Algorithm ◽  
Game Theory ◽  
Cooperative Game ◽  
Water Allocation ◽  
Cooperative Game Theory ◽  
Theory Approach ◽  
Agent Based Model ◽  
Agent Based ◽  
Environmental Models ◽  
Optimal Water Allocation

Abstract 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 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 approach including Genetic Algorithm, cooperative game theory and Agent-Based Model have been used to optimize water allocation in Tajan catchment. The proposed Agent-Based Model 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 Agent-Based Model relative to Genetic Algorithm has been increased 24 and 21% respectively. Although the total benefit in game theory is greater than the Agent-Based Model, but the Agent-Based Model considering the agents feedback propose a more comprehensive approach to optimal water allocation.

Property appraisal in high-rises: A cooperative game theory approach

2009 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Danny Ben-Shahar ◽  
Yongheng Deng ◽  
Eyal Sulganik
Keyword(s):  
Game Theory ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
Theory Approach

A converging non-cooperative & cooperative game theory approach for stabilizing peer-to-peer electricity trading

2020 ◽  
Vol 183 ◽  
pp. 106278 ◽  
Author(s):  
Waqas Amin ◽  
Qi Huang ◽  
M. Afzal ◽  
Abdullah Aman Khan ◽  
Khalid Umer ◽  
...  
Keyword(s):  
Game Theory ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
Peer To Peer ◽  
Theory Approach ◽  
Electricity Trading

scholarly journals Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network

2020 ◽  
Vol 20 (2) ◽  
pp. 76
Author(s):  
Chaeriah Bin Ali Wael ◽  
Nasrullah Armi ◽  
Arumjeni Mitayani ◽  
Suyoto Suyoto ◽  
Salita Ulitia Prini ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cooperative Game ◽  
Energy Efficient ◽  
Cooperative Game Theory ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Theory Approach ◽  
Energy Efficient Clustering

Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to its predominance in coordinating the behaviors of many players, game theory has been considered for improving energy efficiency in WSN. In this paper, we evaluate the performance of cooperative game theoretic clustering (CGC) algorithm which employs cooperative game theory in a form of 3-agent cost sharing game for energy-efficient clustering in WSN. Furthermore, we compared its performance to a well-known traditional clustering method, low-energy adaptive clustering hierarchy (LEACH), in terms of network lifetime and stability, and total residual energy. The simulation results show that CGC has better performance compared to LEACH due to the cooperation among cluster heads in coalition. CGC has higher alive nodes with stability improvement of first node dies (FND) by 65%, and the improvement by 52.4% for half node dies (HND). However, with the increasing of the number of nodes, the performance of LEACH is getting better compared to CGC.

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