Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.70.016701
Title: Generalized chromosome genetic algorithm for generalized traveling salesman problems and its applications for machining
Authors: Wu, C.
Liang, Y.
Lee, H.P. 
Lu, C.
Issue Date: Jul-2004
Citation: Wu, C., Liang, Y., Lee, H.P., Lu, C. (2004-07). Generalized chromosome genetic algorithm for generalized traveling salesman problems and its applications for machining. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 70 (1 2) : 016701-1. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevE.70.016701
Abstract: The structure of conventional chromosome was generalized to be a chromosome termed as a generalized chromosome (GC). A genetic scheme named as generalized-chromosome-based genetic algorithm (GCGA) was also presented. It was found that the proposed GCGA enables GTSP and TSP to be solved under a uniform algorithm mode. The results show that GCGA can directly solve GTSP without the need of intermediate transformation to TSP.
Source Title: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/60397
ISSN: 15393755
DOI: 10.1103/PhysRevE.70.016701
Appears in Collections:Staff Publications

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