Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31390
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Li, Jingpeng
Kwan, Raymond S K
Contact Email: jli@cs.stir.ac.uk
Title: A fuzzy simulated evolution algorithm for the driver scheduling problem
Citation: Li J & Kwan RSK (2001) A fuzzy simulated evolution algorithm for the driver scheduling problem. In: Proceedings of the 2001 Congress on Evolutionary Computation. 2001 Congress on Evolutionary Computation, Seoul, South Korea, 27.05.2001-30.05.2001. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cec.2001.934316
Issue Date: May-2001
Conference Name: 2001 Congress on Evolutionary Computation
Conference Dates: 2001-05-27 - 2001-05-30
Conference Location: Seoul, South Korea
Abstract: The paper presents a fuzzy simulated evolution algorithm for the public transport driver scheduling problem, which involves solving a set covering model. The novel scheduling algorithm incorporates the idea of fuzzy evaluation into simulated evolution, combining the features of iterative improvement and constructive perturbation, to explore solution space effectively and obtain superior schedules. Experiments with benchmark tests using data from the transportation industry demonstrate the strengths of the proposed algorithm in solving large size real-world driver scheduling problems. It is suggested that this approach might be suitable for other large-scale set covering problems.
Status: VoR - Version of Record
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