Crew Planning Optimization Model of High-Speed Railway

Jin Mei Li; Lei Nie

doi:10.4028/www.scientific.net/AMR.869-870.298

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 869-870Crew Planning Optimization Model of High-Speed...

Crew Planning Optimization Model of High-Speed Railway

Abstract:

Crew planning with complicated constraints is decomposed into two sequential phases: crew scheduling phase, crew rostering phase. Setting a dynamic model based on set covering model, Genetic Algorithm is adopted based on feasible solution range in search of optimal scheduling set with minimum time. Constructing a node-arc TSP network, it adopts Genetic Algorithm and Simulated Annealing Algorithm to create a work roster. Based on Wuhan-Guangzhou High-Speed Railway in China, the balance degree of crew planning is measured by crew working time entropy. The proposed model proves strong practical application.

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Periodical:

Advanced Materials Research (Volumes 869-870)

Pages:

298-304

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.869-870.298

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Online since:

December 2013

Authors:

Jin Mei Li, Lei Nie

Keywords:

Crew Planning, Crew Rostering, Crew Scheduling, Genetic Algorithm (GA), Simulated Annealing Algorithm, TSP

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