Two-step approach based multi-objective groundwater remediation using enhanced random vector functional link integrated with evolutionary marine predator algorithm.

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作者： Partha,Majumder ^[1] ; Chunhui,Lu ^[2] ; T I,Eldho ^[3]

作者单位： State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China. Electronic address: parthamajp@gmail.com. ^[1] State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China. Electronic address: clu@hhu.edu.cn. ^[2] Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India. Electronic address: eldho@civil.iitb.ac.in. ^[3]

关键词 Enhanced random vector functional link (ERVFL)Evolutionary marine predator algorithm (EMPA)Groundwater remediation Multi-objective optimization

主题词算法(Algorithms);计算机模拟(Computer Simulation);生物进化(Biological Evolution)

DOI 10.1016/j.jconhyd.2023.104201

PMID 37192566

发布时间 2023-06-11

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