With the expansion of operational scale of supermarkets in China, the vegetable market has grown considerably. The decision-making related to procurement costs and allocation quantities of vegetables has become a pivotal factor in determining the profitability of supermarkets. This paper analyzes the relationship between pricing and allocation faced by supermarkets in vegetable operations. Optimization algorithms are employed to determine replenishment and pricing strategies. Linear regression is utilized to model the historical data of various products, establishing the relationship between sale prices and sales volumes for 61 products. By integrating historical data on vegetable costs with time information based on the 24 solar terms, a cost prediction model is trained using TCN-Attention. The Topis evaluation model identifies the 32 most market-demanded products. A genetic algorithm is then used to search for the globally optimized vegetable product allocation-pricing decision.

翻译：随着中国超市经营规模不断扩张，蔬菜市场规模快速增长。与蔬菜采购成本和分配量相关的决策已成为决定超市盈利能力的关键因素。本文分析了超市蔬菜经营中面临的定价与分配关系，采用优化算法确定补货与定价策略。利用线性回归对多种产品的历史数据进行建模，建立了61种产品售价与销量之间的关联。通过结合蔬菜成本历史数据与基于二十四节气的时间信息，采用TCN-Attention训练成本预测模型。Topis评估模型筛选出32种市场需求量最大的产品，随后运用遗传算法搜索全局最优的蔬菜产品分配-定价决策方案。