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.
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Tiacci, L., Cardoni, A. (2012). A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection. In: Camarinha-Matos, L.M., Xu, L., Afsarmanesh, H. (eds) Collaborative Networks in the Internet of Services. PRO-VE 2012. IFIP Advances in Information and Communication Technology, vol 380. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32775-9_51
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DOI: https://doi.org/10.1007/978-3-642-32775-9_51
Publisher Name: Springer, Berlin, Heidelberg
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