基于人工蜂群算法的鲜活农产品冷链物流配送路径优化
发布时间：2019-01-04 12:14
【摘要】：鲜活农产品易变质的特性决定了其配送过程的困难性,针对这一难题,拟构建鲜活农产品的变质函数和配送时间的惩罚函数,并依此建立带有时间窗的鲜活农产品冷链物流路径优化模型。通过人工蜂群算法(ABC)对模型进行求解,以自然数编码的方式生成食物源,并讨论食物源的更新公式和适应度函数,研究具体的求解步骤和判断标准。利用数值算例验证了所建模型的合理性,结果表明,人工蜂群算法对此类问题具有有效性和可行性。
[Abstract]:The perishable nature of fresh agricultural products determines the difficulty of the distribution process. In view of this problem, the deterioration function of fresh agricultural products and the penalty function of distribution time are to be constructed. Based on this, the model of cold chain logistics path optimization for fresh agricultural products with time window is established. The model was solved by artificial bee colony algorithm (ABC), and the food source was generated by natural number coding. The updating formula and fitness function of food source were discussed, and the concrete solving steps and judging criteria were studied. A numerical example is used to verify the rationality of the proposed model. The results show that the artificial bee colony algorithm is effective and feasible for this kind of problem.
【作者单位】： 南京工业大学经济与管理学院;
【基金】：国家自然科学基金(编号:71301073) 江苏省高校研究生科研创新计划(编号:KYLX_0785)
【分类号】：F252;F326.6;TP18
，
本文编号：2400276
[Abstract]:The perishable nature of fresh agricultural products determines the difficulty of the distribution process. In view of this problem, the deterioration function of fresh agricultural products and the penalty function of distribution time are to be constructed. Based on this, the model of cold chain logistics path optimization for fresh agricultural products with time window is established. The model was solved by artificial bee colony algorithm (ABC), and the food source was generated by natural number coding. The updating formula and fitness function of food source were discussed, and the concrete solving steps and judging criteria were studied. A numerical example is used to verify the rationality of the proposed model. The results show that the artificial bee colony algorithm is effective and feasible for this kind of problem.
【作者单位】： 南京工业大学经济与管理学院;
【基金】：国家自然科学基金(编号:71301073) 江苏省高校研究生科研创新计划(编号:KYLX_0785)
【分类号】：F252;F326.6;TP18
，
本文编号：2400276
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