Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network.
- DOI
- 10.1007/s11356-023-25573-w
- Published
- 2023 Apr
- Container
- Environmental science and pollution research international
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-023-25573-w,
title = {Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network.},
author = {Mu N and Wang Y and Chen ZS and Xin P and Deveci M and Pedrycz W},
year = {2023},
journal = {Environmental science and pollution research international},
doi = {10.1007/s11356-023-25573-w},
url = {https://doi.org/10.1007/s11356-023-25573-w}
}RIS
TY - JOUR TI - Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network. AU - Mu N AU - Wang Y AU - Chen ZS AU - Xin P AU - Deveci M AU - Pedrycz W PY - 2023 JO - Environmental science and pollution research international DO - 10.1007/s11356-023-25573-w UR - https://doi.org/10.1007/s11356-023-25573-w ER -
APA
N, M., Y, W., ZS, C., P, X., M, D., & W, P. (2023). Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-023-25573-w
Source records
- pubmed · retrieved 2026-09-26T20:50:55.892Z