Optimal layout design of groundwater pollution monitoring network using parameter iterative updating strategy-based ant colony optimization algorithm-Reference-Cited by-同舟云学术

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Optimal layout design of groundwater pollution monitoring network using parameter iterative updating strategy-based ant colony optimization algorithm

Published:2023-10-20 Issue:53 Volume:30 Page:114535-114555
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Luo Jiannan^ORCID,Xiong Yu,Song Zhuo,Ji Yefei,Xin Xin,Zou Hao

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-30228-x.pdf

Reference28 articles.

1. Abbattista F, Abbattista N, Caponetti I (1995) An evolutionary and cooperative agents model for optimization. Proc IEEE Int Conf Evol Comput 2(668–671):1995

2. Ayvaz EA (2018) Identification of the optimum groundwater quality monitoring network using a genetic algorithm based optimization approach. J Hydrol 563:1078–1091

3. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297

4. Datta B, Prakash O, Campbell S et al (2013) Efficient identification of unknown groundwater pollution sources using linked simulation-optimization incorporating monitoring location impact factor and frequency factor. Water Resour Manage 27:4959–4976

5. Dorigo M (1992) Optimization, learning and natural algorithms (in Italian). Dissertation, Politecnico di Milano, Italy

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