«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

[1]陈劲,陈水利.供应商优选与订货量分配的多目标微粒群算法[J].集美大学学报(自然科学版),2011,16(4):316-320.
　CHEN Jin,CHEN Shui-li.Multi -objective Particle Swarm Optimization Algorithm forSupplier Selection and Order Quantity Allocation[J].Journal of Jimei University,2011,16(4):316-320.
点击复制

供应商优选与订货量分配的多目标微粒群算法(PDF)

分享到：

《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:: 第16卷
期数:: 2011年第4期

页码:: 316-320

栏目:: 数理科学与信息工程

出版日期:: 2011-07-25

文章信息/Info

Title:: Multi -objective Particle Swarm Optimization Algorithm forSupplier Selection and Order Quantity Allocation

作者:: 陈劲1; 陈水利2; (1.厦门城市职业学院,福建厦门 361008;2.集美大学理学院,福建厦门 361021)

Author(s):: CHEN Jin1; CHEN Shui-li2; (1.Xiamen City University,Xiamen 361008,China;2.School of Science,Jimei University,Xiamen 361021,China)

关键词:: 供应商选择; 订货量分配; 多目标优化; 微粒群优化

Keywords:: supplier selection; order quantity allocation; multi-objective optimization; particle swarm optimization

分类号:: -

DOI:: -

文献标志码:: -

摘要:: 分析了供应商优选与订货量分配问题的特性，构建了带界约束的多目标优化模型，并设计具备有综合学习机制的多目标微粒群优化算法以求解该模型.实验结果表明，该多目标微粒群优化算法是有效的

Abstract:: A boundary constrained multi -objective model was proposed on condition that the characteristic of the problem was analyzed,and then,a multi -objective particle swarm optimization algorithm with synthesized study mechanism was designed to solve the proposed model.The experiment results showed the effectiveness of the multi -objective particle swarm optimization algorithm in this problem

参考文献/References:

-

相似文献/References:

备注/Memo

备注/Memo:: -

更新日期/Last Update: 2018-06-13