dc.creator | Petrović, Milica | |
dc.creator | Miljković, Zoran | |
dc.creator | Babić, Bojan | |
dc.creator | Vuković, Najdan | |
dc.creator | Čović, Nebojša | |
dc.date.accessioned | 2022-09-19T16:59:49Z | |
dc.date.available | 2022-09-19T16:59:49Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 0562-1887 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/1531 | |
dc.description.abstract | Reliable and efficient material transport is one of the basic requirements that affect productivity in industry. For that reason, in this paper two approaches are proposed for the task of intelligent material transport by using a mobile robot. The first approach is based on applying genetic algorithms for optimizing process plans. Optimized process plans are passed to the genetic algorithm for scheduling which generate an optimal job sequence by using minimal makespan as criteria. The second approach uses graph theory for generating paths and neural networks for learning generated paths. The Matlab | en |
dc.publisher | Croation Union of Mech. Engineers and Naval Architects | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35004/RS// | |
dc.rights | openAccess | |
dc.source | Strojarstvo | |
dc.subject | Scheduling | en |
dc.subject | Mobile robot | en |
dc.subject | Intelligent manufacturing systems | en |
dc.subject | Graph theory | en |
dc.subject | Genetic algorithms | en |
dc.subject | Conceptual design | en |
dc.subject | Axiomatic design theory | en |
dc.subject | Artificial neural networks | en |
dc.title | Towards a conceptual design of intelligent material transport using artificial intelligence | en |
dc.type | article | |
dc.rights.license | ARR | |
dc.citation.epage | 219 | |
dc.citation.issue | 3 | |
dc.citation.other | 54(3): 205-219 | |
dc.citation.rank | M23 | |
dc.citation.spage | 205 | |
dc.citation.volume | 54 | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/424/1528.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_1531 | |
dc.identifier.scopus | 2-s2.0-84900497229 | |
dc.type.version | publishedVersion | |