contributor author | Jianjun Ni | |
contributor author | Minghua Liu | |
contributor author | Li Ren | |
contributor author | Yang, Simon X. | |
date accessioned | 2020-03-12T18:21:17Z | |
date available | 2020-03-12T18:21:17Z | |
date issued | 2014 | |
identifier issn | 1545-5955 | |
identifier other | 6410370.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/955687?locale-attribute=en&show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | A Multiagent Q-Learning-Based Optimal Allocation Approach for Urban Water Resource Management System | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7987424 | |
subject keywords | environmental science computing | |
subject keywords | learning (artificial intelligence) | |
subject keywords | multi-agent systems | |
subject keywords | resource allocation | |
subject keywords | water resources | |
subject keywords | adaptive reward value function | |
subject keywords | agent-based model | |
subject keywords | maximum mapping value function-based Q-learning algorithm | |
subject keywords | multiagent Q-learning-based optimal allocation approach | |
subject keywords | stakeholder agents | |
subject keywords | urban water resource management system | |
subject keywords | urban water resource optimal allocation | |
subject keywords | water environment system | |
subject keywords | Biological cells | |
subject keywords | Genetic algorithms | |
subject keywords | Indexes | |
subject keywords | Optimization | |
subject keywords | Resource manageme | |
identifier doi | 10.1109/TASE.2012.2229978 | |
journal title | Automation Science and Engineering, IEEE Transactions on | |
journal volume | 11 | |
journal issue | 1 | |
filesize | 1474837 | |
citations | 1 | |