A hybrid genetic algorithm for train sequencing in the Korean railway

Ji-Won Chung, Seog-Moon Oh and In-Chan Choi

Omega, 2009, vol. 37, issue 3, 555-565

Abstract: This article addresses the train-sequencing problem encountered in the Korean railway. It first presents a mixed integer programming model for the problem, in which the mileage must be balanced for each train route, while various field constraints must be satisfied, including overnight stay capacity and maintenance allocation restrictions. Then, it proposes a hybrid genetic algorithm as a solution approach to the problem. The proposed algorithm utilizes a modified elite group technique along with two heuristic procedures based on the mixed integer programming model. Finally, the proposed solution approach is tested with real-world data from the Korean railway. Numerical experiments under different conditions indicate that the proposed solution approach to the train-sequencing problem is promising.

Keywords: Train; sequencing; Genetic; algorithm; Integer; programming; Rail; transport (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

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