DocumentCode
2911461
Title
Single and multiobjective optimization of the train staff planning problem using genetic algorithms
Author
Domberger, R. ; Frey, Lukas ; Hanne, Thomas
Author_Institution
Inst. for Inf. Syst., Univ. of Appl. Sci. Northwestern Switzerland, Basel
fYear
2008
fDate
1-6 June 2008
Firstpage
970
Lastpage
977
Abstract
We consider the problem of assigning train drivers to scheduled trains services, a combinatorial optimization problem which involves various hard and soft constraints. The problem is formulated as a single and a multiobjective optimization problem. A genetic algorithm is designed for solving it. As the problem is a real-life problem, various issues of application and utilization within a railway planning suite are discussed as well.
Keywords
combinatorial mathematics; genetic algorithms; railways; scheduling; combinatorial optimization problem; genetic algorithms; multiobjective optimization; single optimization; train driver assignment; train staff planning problem; Evolutionary computation; Genetic algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630914
Filename
4630914
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