Genetic algorithms for optimization of a mine system under uncertainty

Basit Öğe Kaydı
dc.contributor.authorKumral, M
dc.date.accessioned2024-08-04T20:14:58Z
dc.date.available2024-08-04T20:14:58Z
dc.date.issued2004
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe production planning of a mine system associated with mining, processing and refining stages dictates to determine optimal system parameters such as optimal production rates, location of refining facility and the best reconstruction time of production rates. This paper proposes a combination of the chance constrained programming (CCP) and the genetic algorithms (GA) to find the optimal system parameters simultaneously. In generic form the problem is expressed as the maximization of net present value of future cash flows such that the capacity constraint and predefined specifications are satisfied. The blending requirements expressed in the CCP are transformed into deterministic equivalents. A new form of the problem is solved by the GA. The approach was demonstrated on extraction, processing and refining of four iron ore mines with varying reserves, ore qualities, geological and topographic conditions, four mineral processing units and one re. ning facility. The results showed that the proposed algorithm could be used to determine optimal production rates, the facility location and the best reconstruction time.en_US
dc.identifier.doi10.1080/09537280310001654844
dc.identifier.endpage41en_US
dc.identifier.issn0953-7287
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-2442447395en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage34en_US
dc.identifier.urihttps://doi.org/10.1080/09537280310001654844
dc.identifier.urihttps://hdl.handle.net/11616/94083
dc.identifier.volume15en_US
dc.identifier.wosWOS:000220753600005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofProduction Planning & Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgenetic algorithmsen_US
dc.subjectchance constrained programmingen_US
dc.subjectoptimal locationen_US
dc.subjectproduction ratesen_US
dc.subjectreconstruction timeen_US
dc.titleGenetic algorithms for optimization of a mine system under uncertaintyen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu