Optimization Model for Vegetable Pricing in the Chinese Market Based on Gaussian Process Regression and Simulated Annealing Algorithm-Reference-Cited by-同舟云学术

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Optimization Model for Vegetable Pricing in the Chinese Market Based on Gaussian Process Regression and Simulated Annealing Algorithm

Published:2023-11-17 Issue: Volume: Page:182-186
ISSN:
Container-title:Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering
language:
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Author:

Chen Yijia¹^ORCID,Kai Jiang²^ORCID,Xiong Shiyi³^ORCID,Fan Bowei⁴^ORCID

Affiliation:

1. Department of Oxford Brookes Business School, Oxford Brookes University, U.K

2. School of Business and Trade, Southwest University, China

3. Computing Science and Artificial Intelligence college Suzhou City University, China

4. Department of Sociology, Shanghai University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652628.3652659

Reference10 articles.

1. Ekanayake C. Bandara Y. M. Chipulu M. & Chhetri P. 2023. An Order Fulfilment Location Planning Model for Perishable Goods Supply Chains Using Population Density. Supply Chain Analytics 100045. https://doi.org/10.1016/j.sca.2023.100045

2. Forecasting commodity prices: empirical evidence using deep learning tools

3. Application of Machine Learning algorithm for creating sustainable omni-channel retail ecosystem

4. Authoritative sources in a hyperlinked environment

5. Vegetable Prices Possess Seasonal Volatility: A Case Study of Lahore, Punjab, Pakistan

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