A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection

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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Communication dans un congrès
Luis M. Camarinha-Matos; Lai Xu; Hamideh Afsarmanesh. 13th Working Confeence on Virtual Enterpries (PROVE), Oct 2012, Bournemouth, United Kingdom. Springer, IFIP Advances in Information and Communication Technology, AICT-380, pp.503-512, 2012, Collaborative Networks in the Internet of Services. 〈10.1007/978-3-642-32775-9_51〉
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Lorenzo Tiacci, Andrea Cardoni. A Genetic Algorithm Approach for Collaborative Networked Organizations Partners Selection. Luis M. Camarinha-Matos; Lai Xu; Hamideh Afsarmanesh. 13th Working Confeence on Virtual Enterpries (PROVE), Oct 2012, Bournemouth, United Kingdom. Springer, IFIP Advances in Information and Communication Technology, AICT-380, pp.503-512, 2012, Collaborative Networks in the Internet of Services. 〈10.1007/978-3-642-32775-9_51〉. 〈hal-01520475〉

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