智能科学与技术学报 ›› 2022, Vol. 4 ›› Issue (2): 174-183.doi: 10.11959/j.issn.2096-6652.202202
张欣1, 詹志辉2
出版日期:
2022-06-15
发布日期:
2022-06-01
作者简介:
张欣(1992– ),女,博士,江南大学人工智能与计算机学院讲师,主要研究方向为进化计算、群体智能及其在供应链网络和智能制造中的应用基金资助:
Xin ZHANG1, Zhihui ZHAN2
Online:
2022-06-15
Published:
2022-06-01
Supported by:
摘要:
供应链网络通过需求和供应关系将各个成员连接起来,方便成员之间进行协调与合作,这在全球化竞争环境下显得尤为重要。对供应链网络结构进行优化改进能够缩小企业运营成本、提高企业收益,提升客户满意度,进而提高企业的竞争力。首先,通过分析供应链网络中的优化问题,从建模特征、决策变量类型和场景特征等不同角度对该问题进行分类,从而更清晰地介绍现有供应链网络研究工作中涉及的优化问题。然后,介绍并分析了遗传算法、蚁群优化算法和粒子群优化算法3种常用的智能优化算法及其在供应链网络优化问题中的应用情况。最后,对供应链网络优化问题的未来研究方向进行了展望。
中图分类号:
张欣,詹志辉. 智能优化算法在供应链网络中的应用[J]. 智能科学与技术学报, 2022, 4(2): 174-183.
Xin ZHANG,Zhihui ZHAN. Application of intelligent optimization algorithms in supply chain network[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(2): 174-183.
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