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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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