Measurement and analysis of regional water-energy-food nexus resilience with an improved hybrid kernel extreme learning machine model based on a dung beetle optimization algorithm

Zhiqin Zhang, Liangliang Zhang, Dong Liu, Nan Sun, Mo Li, Muhammad Abrar Faiz, Tianxiao Li, Song Cui and Muhammad Imran Khan

Agricultural Systems, 2024, vol. 218, issue C

Abstract: In traditional water-energy-food nexus (WEFN) system analysis, the impact of resilience is insufficiently considered, and the accuracy of resilience assessment is low, which can easily lead to system imbalance. Modeling measures can yield optimal evaluation results and provide decision makers with a scientific and efficient basis for management.

Keywords: DBO-HKELM; Water-energy-food nexus system; Index screening; Resilience measurement; Beidahuang Group (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:218:y:2024:i:c:s0308521x24001161

DOI: 10.1016/j.agsy.2024.103966

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