A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection

被引：0
|
作者：
Tiacci, Lorenzo [1 ]
Cardoni, Andrea [2 ]
机构：
[1] Univ Perugia, Dipartimento Ingn Ind, Via Duranti 67, I-06125 Perugia, Italy
[2] Univ Perugia, Dipartimento Discipline Giurid & Aziendali, I-06123 Perugia, Italy
来源：
COLLABORATIVE NETWORKS IN THE INTERNET OF SERVICES | 2012年 / 380卷
关键词：
Business Networks Formation; Genetic Algorithm; Strategic Objectives;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the paper a genetic algorithm approach to form potential Collaborative Networked Organizations (CNOs) is presented. When analyzing a set of companies that are potential partners of a CNO, it is possible to collect specific data from each company through which evaluate, once aggregated, for which Strategic Objective (SO) the potential aggregation is most suited. At this purpose a metric, consisting in a set of performance parameters related to different SO types, has been created. Given a large number of companies, through a genetic algorithm approach is then possible to set a specific objective function related to a particular SO (eg. maximize potential creation of new Business Opportunities), and to find the cluster (or clusters) of companies that maximizes the objective function.
引用
收藏
页码：503 / +
页数：3
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