The generalized network model: Algorithms and applications

Tzafestas, S; Reveliotis, S; Kapsiotis, G

dc.contributor.author	Tzafestas, S	en
dc.contributor.author	Reveliotis, S	en
dc.contributor.author	Kapsiotis, G	en
dc.date.accessioned	2014-03-01T01:44:55Z
dc.date.available	2014-03-01T01:44:55Z
dc.date.issued	1996	en
dc.identifier.issn	01371223	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24515
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-5844282090&partnerID=40&md5=2072aab9d7515e27f5785006226f44d8	en
dc.title	The generalized network model: Algorithms and applications	en
heal.type	journalArticle	en
heal.publicationDate	1996	en
heal.abstract	In this paper, the generalized network (GN) model is considered. Starting with a general presentation of the GN formulation and problem statement, an overview of the major algorithms developed over the years (Jewell's algorithm, dual algorithm, relaxation algorithm) is provided. Then a new GN modelling tool, the Genet-Optimizer, developed by the authors, is briefly presented. Genet-Optimizer is an integrated software environment for the analysis and solution of practical problems that can be put in the GN form, and has four components; data subsystem. model subsystem, report subsystem and control subsystem (interfaced with the user). Two examples are included to support the theory. Finally, the principal areas of application of the GN model in real-life problems are briefly discussed.	en
heal.journalName	Systems Science	en
dc.identifier.volume	22	en
dc.identifier.issue	1	en
dc.identifier.spage	20	en
dc.identifier.epage	46	en