[1]刘炎宝,王 珂*,杨智勇,等.考虑碳排放与新鲜度的冷链物流配送路径优化[J].江西师范大学学报(自然科学版),2019,(02):188-195.[doi:10.16357/j.cnki.issn1000-5862.2019.02.13]
　LIU Yanbao,WANG Ke*,YANG Zhiyong,et al.The Routing Optimization for Cold Chain Distribution Considering Carbon Emissions and Freshness[J].Journal of Jiangxi Normal University:Natural Science Edition,2019,(02):188-195.[doi:10.16357/j.cnki.issn1000-5862.2019.02.13]
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考虑碳排放与新鲜度的冷链物流配送路径优化()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年02期
页码:
188-195
栏目:
数学与应用数学
出版日期:
2019-04-10

文章信息/Info

Title:
The Routing Optimization for Cold Chain Distribution Considering Carbon Emissions and Freshness
文章编号:
1000-5862(2019)02-0188-08
作者:
刘炎宝1; 王 珂1*; 杨智勇2; 王思静1
1.上海大学管理学院,上海 200444; 2.江西师范大学数学与信息科学学院,江西 南昌 330022
Author(s):
LIU Yanbao1; WANG Ke1*; YANG Zhiyong2; WANG Sijing1
1.School of Management,Shanghai University,Shanghai 200444,China; 2.College of Mathematics of Informatics,Jiangxi Normal University,Nanchang Jiangxi 330022,China
关键词:
绿色冷链物流;  碳排放;  生鲜农产品;  路径优化;  遗传算法
Keywords:
green cold chain logistics;  carbon emission;  fresh agricultural products;  routing optimization;  genetic algorithm
分类号:
F 506; F 253
DOI:
10.16357/j.cnki.issn1000-5862.2019.02.13
文献标志码:
A
摘要:
针对生鲜农产品品质保障和低碳绿色物流的要求,考虑在固定成本、燃油成本、时间窗惩罚成本的基础上增加新鲜度下降惩罚成本和碳排放成本,从而建立生鲜农产品冷链物流配送路径优化模型.结合遗传算法全局搜索能力较强和禁忌搜索算法局部寻优能力较好的优势,设计基于禁忌搜索的改进遗传算法对其求解.通过实际案例验证了模型的实用性和算法的有效性.
Abstract:
In order to meet the requirements for quality guarantee of fresh agricultural products and low-carbon green logistics,a routing optimization model for cold chain distribution of fresh agricultural products is established,considering the costs of quality deterioration and carbon emission,as well as the fixed cost,fuel cost and penalty for violating time windows.According to the advantages of genetic algorithm in global search and tabu search algorithm in local search,a tabu search based improved genetic algorithm is proposed to solve the model.The practicability of the model and the effectiveness of the improved algorithm are verified by a practical case.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-11-10 基金项目:国家自然科学基金(71501123)资助项目. 通信作者:王 珂(1982-),男,重庆人,副教授,博士,主要从事物流与供应链管理研究.E-mail:kwang@shu.edu.cn
更新日期/Last Update: 2019-04-10