Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69425
Title: Application of Evolutionary Algorithm on a transportation scheduling problem - The mass rapid transit
Authors: Kwan, C.M.
Chang, C.S. 
Issue Date: 2005
Citation: Kwan, C.M.,Chang, C.S. (2005). Application of Evolutionary Algorithm on a transportation scheduling problem - The mass rapid transit. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings 2 : 987-994. ScholarBank@NUS Repository.
Abstract: This paper deals with the application of a heuristic-based Evolutionary Algorithms (EAs) on a specific industrial problem - the scheduling of rapid transit systems. The system under consideration is a medium-sized mass rapid transit (MRT) system and the dual objectives of minimizing operating costs and passenger dissatisfaction are considered. Making use of concepts such as Pareto-optimality and Multiobjective Evolutionary Algorithms, the authors applied a Multiobjective Evolutionary Algorithm (MOEA) to solve the problem. Comparison studies were done with current method, obtaining satisfactory results. © 2005 IEEE.
Source Title: 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/69425
ISBN: 0780393635
Appears in Collections:Staff Publications

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