Genetic Algorithm Based Optimization Solution for Supermarket Replenishment and Pricing Strategies-Reference-Cited by-同舟云学术

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Genetic Algorithm Based Optimization Solution for Supermarket Replenishment and Pricing Strategies

Published:2023-12-29 Issue: Volume:35 Page:1280-1286
ISSN:
Container-title:2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)
language:
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Author:

Yi Xuhui¹,Huang Yalin²,Zhang Xinyu¹,Liu Zhihan¹,Wang Haiyang³

Affiliation:

1. School of Management, Wuhan University of Science and Technology,Wuhan,China

2. School of Information Science and Engineering, Wuhan University of Science and Technology,Wuhan,China

3. School of Mechanical and Transportation Engineering Taiyuan University of Technology,Taiyuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441787/10441797/10442788.pdf?arnumber=10442788

Reference8 articles.

1. Research of Fresh Agricultural Products Transverse Replenishment and Deployment in Supermarket Chains

2. A Methodology for Replenishment of Products on Supermarket Sector

3. The Study of Replenishment Optimization of Flexsim in Small and Medium-sized Supermarkets;Zi-Wei;Logistics Sci-Tech,2023

4. A fuzzy goal programming approach for mid-term assortment planning in supermarkets

5. Automated Elimination of River Based on Multi-Objective Optimization Using Genetic Algoriths;Jian;Journal of China University of Mining & Technology,2006

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