Adaptations of a resources system  selection problem of  Distributed/Agile/Virtual Enterprises  for using genetic algorithms

Ávila, Paulo; Mota, Alzira; Putnik, Goran; Costa, Lino

Publication

Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms

2014Journal article

dc.contributor.author	Ávila, Paulo
dc.contributor.author	Mota, Alzira
dc.contributor.author	Putnik, Goran
dc.contributor.author	Costa, Lino
dc.date.accessioned	2023-06-07T15:58:10Z
dc.date.available	2023-06-07T15:58:10Z
dc.date.issued	2014
dc.description.abstract	The selection of resource systems is still a difficult matter to solve in distributed / Agile / Virtual enterprises ( D/A/V Es ) integration. Attempts to solve the resources selection problem, has originated several models and consequently different algorithms have been applied to obtain solutions. The exact algorithms have good performance (in terms of computational time) for low dimension problems. However, become ineffective as the complexity increases. Genetic algorithms are considered robust and versatile. These have been applied to complex problems in several application areas and gained popularity in innumerable research works. To improve the computational time in solving the resources selection problem, we pretend to apply a genetic algorithm. Due to the characteristics of the model, the application of this algorithm forced adjustments in the initial model. In this work, we present the adaptations performed in the study model in order to use genetic algorithms.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Ávila P., Mota A., Putnik G. D., Costa L. (2014) Adaptations of a Resources System Selection Problem of Distributed/Agile/Virtual Enterprises for Using Genetic Algorithms, Proceedings of 2100 Projects Association Joint Conferences, 2100 Projects Association, Vol. 1, pp. 7-12, ISSN: 2183-3060.	pt_PT
dc.identifier.doi	10.26537/recipp-23096
dc.identifier.issn	2183-3060
dc.identifier.uri	http://hdl.handle.net/10400.22/23096
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative Change	pt_PT
dc.relation.publisherversion	https://2100projectsassoci.wixsite.com/website/volume1-2	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	pt_PT
dc.subject	Distributed/Agile/Virtual Enterprises	pt_PT
dc.subject	Resources System Selection Problem	pt_PT
dc.subject	Exact Algorithms	pt_PT
dc.subject	Genetic Algorithms	pt_PT
dc.title	Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.endPage	12	pt_PT
oaire.citation.startPage	7	pt_PT
oaire.citation.title	PROCEEDINGS of 2100 Projects Association Joint Conferences 1 - 2014	pt_PT
oaire.citation.volume	1	pt_PT
person.familyName	Ávila
person.familyName	Teixeira da Mota
person.givenName	Paulo
person.givenName	Alzira Maria
person.identifier	631747
person.identifier.ciencia-id	5F17-10EE-C0CE
person.identifier.ciencia-id	B219-017C-0828
person.identifier.orcid	0000-0001-8420-0875
person.identifier.orcid	0000-0002-3871-4215
person.identifier.scopus-author-id	8609138000
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
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