A Multiagent Q-Learning-Based Optimal Allocation Approach for Urban Water Resource Management System
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: 2014DOI: 10.1109/TASE.2012.2229978
Keyword(s): environmental science computing,learning (artificial intelligence),multi-agent systems,resource allocation,water resources,adaptive reward value function,agent-based model,maximum mapping value function-based Q-learning algorithm,multiagent Q-learning-based optimal allocation approach,stakeholder agents,urban water resource management system,urban water resource optimal allocation,water environment system,Biological cells,Genetic algorithms,Indexes,Optimization,Resource manageme
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A Multiagent Q-Learning-Based Optimal Allocation Approach for Urban Water Resource Management System
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| 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 | |
| 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 |