A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection

Lorenzo Tiacci
  • Function : Author
  • PersonId : 992718

Abstract

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.
Fichier principal
Vignette du fichier
978-3-642-32775-9_51_Chapter.pdf (90.7 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01520475 , version 1 (10-05-2017)

Licence

Attribution

Identifiers

Cite

Lorenzo Tiacci, Andrea Cardoni. A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection. 13th Working Confeence on Virtual Enterpries (PROVE), Oct 2012, Bournemouth, United Kingdom. pp.503-512, ⟨10.1007/978-3-642-32775-9_51⟩. ⟨hal-01520475⟩
80 View
47 Download

Altmetric

Share

Gmail Facebook X LinkedIn More