An Adaptive Nutcracker Optimization Approach for Distribution of Fresh Agricultural Products with Dynamic Demands

Daqing Wu, Rong Yan, Hongtao Jin () and Fengmao Cai
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Daqing Wu: College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China
Rong Yan: College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China
Hongtao Jin: College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China
Fengmao Cai: Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S37AZ, UK

Agriculture, 2023, vol. 13, issue 7, 1-21

Abstract: In the operational, strategic and tactical decision-making problems of the agri-food supply chain, the perishable nature of the commodities can represent a particular complexity problem. It is, therefore, appropriate to consider decision support tools that take into account the characteristics of the products, the needs and the requirements of producers, sellers and consumers. This paper presents a green vehicle routing model for fresh agricultural product distribution and designs an adaptive hybrid nutcracker optimization algorithm (AH-NOA) based on k-means clustering to solve the problem. In the process, the AH-NOA uses the CW algorithm to increase population diversity and adds genetic operators and local search operators to enhance the global search ability for nutcracker optimization. Finally, the experimental data show that the proposed approaches effectively avoid local optima, promote population diversity and reduce total costs and carbon emission costs.

Keywords: dynamic demand; adaptive nutcracker optimizer algorithm; green vehicle routing problem; fresh agricultural products (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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