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|Title:||Generalized chromosome genetic algorithm for generalized traveling salesman problems and its applications for machining|
|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|
|Appears in Collections:||Staff Publications|
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