Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems

@article{Chang2007SubpopulationGA,
  title={Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems},
  author={Pei-Chann Chang and Shih-Hsin Chen and Chen-Hao Liu},
  journal={Expert Syst. Appl.},
  year={2007},
  volume={33},
  pages={762-771}
}
According to previous research of Chang et al. [Chang, P. C., Chen, S. H., Lin, K. L. (2005b). Two phase sub-population genetic algorithm for parallel machine scheduling problem. Expert Systems with Applications, 29(3), 705–712], the sub-population genetic algorithm (SPGA) is effective in solving multiobjective scheduling problems. Based on the pioneer efforts, this research proposes a mining gene structure technique integrated with the SPGA. The mining problem of elite chromosomes is… CONTINUE READING
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