A Hybrid Escalating Evolutionary Algorithm for Multi-objective Flow-Shop Scheduling

  title={A Hybrid Escalating Evolutionary Algorithm for Multi-objective Flow-Shop Scheduling},
  author={Ruifeng Shi and Yiming Zhou and Hong Zhou},
  journal={Third International Conference on Natural Computation (ICNC 2007)},
A hybrid escalating evolutionary algorithm, which aims at solving multi-objective flow-shop scheduling problems, is proposed in this paper. The new algorithm takes an escalating evolutionary structure, which helps it escaping from premature, and an elitism strategy is introduced to improve its convergence, besides, a problem-dependent meta- heuristic variable local search strategy is adopted to enhance its local search ability. To assess the performance and demonstrate the effectiveness of the… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 12 references

Multiobjective Scheduling by Genetic Algorithms

  • T. Bagchi
  • 1999
Highly Influential
8 Excerpts

A fast and elitist multiobjective genetic algorithm: Nsga-ii

  • K. Deb, A. Pratap, S. Agarwal
  • IEEE Transactions on tEvolutionary Computation,
  • 2002
1 Excerpt

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