Abstract | ||
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To achieve excellent treatment performance of complex and time-varying characteristics, the operation of wastewater treatment process (WWTP) has been considered as a dynamic multiobjective control problem. In this paper, an optimal controller, based on a dynamic multiobjective particle swarm optimization (DMOPSO) algorithm, is developed to deal with the dynamic multiple conflicting criteria [i.e.,... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TCYB.2019.2925534 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Optimal control,Optimization,Heuristic algorithms,Wastewater treatment,Standards,Particle swarm optimization,Adaptation models | Journal | 51 |
Issue | ISSN | Citations |
5 | 2168-2267 | 1 |
PageRank | References | Authors |
0.36 | 15 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hong-Gui Han | 1 | 476 | 39.06 |
zheng liu | 2 | 267 | 21.86 |
Wei Lu | 3 | 319 | 62.97 |
Ying Hou | 4 | 40 | 3.43 |
Jun-Fei Qiao | 5 | 798 | 74.56 |