Logo des Repositoriums
 

Fuzzy-Logic Controlled Genetic Algorithm for the Rail-Freight Crew-Scheduling Problem

dc.contributor.authorKhmeleva, E.
dc.contributor.authorHopgood, A. A.
dc.contributor.authorTipi, L.
dc.contributor.authorShahidan, M.
dc.date.accessioned2019-04-24T18:28:45Z
dc.date.available2019-04-24T18:28:45Z
dc.date.issued2018
dc.identifier.doi10.1007/s13218-017-0516-6
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21853
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 32, No. 1
dc.titleFuzzy-Logic Controlled Genetic Algorithm for the Rail-Freight Crew-Scheduling Problemen
dc.typeText/Journal
gi.citation.endPage75
gi.citation.publisherPlaceBerlin Heidelberg
gi.citation.startPage61

Dateien