Aiming at the issue of varying proportions of fresh products in the goods delivered to different grid stations during community group buying,with batches containing a higher proportion of fresh products needing expedited delivery,a community group buying goods delivery route planning model based on the proportion of fresh products was established. Taking into account the basic costs,the model imposes different penalties on delivery requests that violate soft time window constraints,based on the proportion of fresh agricultural products at different target nodes relative to the total types of goods. This ensures priority delivery for batches with a higher proportion of fresh products. Additionally,an improved simulated annealing algorithm was utilized to experimentally simulate the model,confirming the effectiveness of both the model and the improved algorithm.
关键词
生鲜占比/社区团购/模拟退火算法/路径优化
Key words
proportion of fresh products/community group buying/simulated annealing algorithm/route optimization
维普
万方数据