PartnerSelection for SDN Enterprises Based on Particle Swarm Optimization Algorithm Problem

HU Wei; XU Fu-yuan

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PartnerSelection for SDN Enterprises Based on Particle Swarm Optimization Algorithm Problem

更新时间：2026-09-04

- PartnerSelection for SDN Enterprises Based on Particle Swarm Optimization Algorithm Problem
- Vol. 30, Issue 1, Pages: 69-72(2013)
- 作者机构：
  
  1. 1 上海理工大学机构管理学院,上海,200093
  2. 2 绵阳师范学院机构数学与计算机科学学院,四川,绵阳,621000
- 作者简介：
- 基金信息：
- DOI：
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- Published：2013
- 稿件说明：
移动端阅览
胡伟, 徐福缘. 基于粒子群算法的供需网合作伙伴选择问题研究[J]. 微电子学与计算机, 2013, 30(1): 69-72.

HU Wei, XU Fu-yuan. PartnerSelection for SDN Enterprises Based on Particle Swarm Optimization Algorithm Problem[J]. 2013, 30(1): 69-72.
胡伟, 徐福缘. 基于粒子群算法的供需网合作伙伴选择问题研究[J]. 微电子学与计算机, 2013, 30(1): 69-72. DOI：

HU Wei, XU Fu-yuan. PartnerSelection for SDN Enterprises Based on Particle Swarm Optimization Algorithm Problem[J]. 2013, 30(1): 69-72. DOI：

摘要

合作伙伴选择及优化是企业运营成败的一个关键问题

针对此问题提出了基于供需网基本特征理念的企业合作伙伴选择的多目标决策模型

通过利用理想点法使模型更加客观、准确、全面地描述和表达供需网中的合作伙伴选择问题

同时用粒子群算法对该模型进行优化和求解.仿真实验结果验证了模型和算法的有效性.

Abstract

Enterprise partner selection and optimization are a key problem in the process of business operations.Aiming at the problems of enterprise partner selection

the multi-objective decision model for enterprise partner selection for Supply and Demand Network(SDN) was presented.By using the ideal point method in the model

partner selection problem for SDN is accurately and comprehensively decrypted

and particle swarm optimization algorithm was presented for optimizing the decision model.Finally

examples and simulation results show that the decision model is practical and the algorithm is valid.

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