A Dynamic Hybrid Framework for Constrained Evolutionary Optimization

@article{Wang2012ADH,
  title={A Dynamic Hybrid Framework for Constrained Evolutionary Optimization},
  author={Yong Wang and Zixing Cai},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2012},
  volume={42},
  pages={203-217}
}
Based on our previous work, this paper presents a dynamic hybrid framework, called DyHF, for solving constrained optimization problems. This framework consists of two major steps: global search model and local search model. In the global and local search models, differential evolution serves as the search engine, and Pareto dominance used in multiobjective optimization is employed to compare the individuals in the population. Unlike other existing methods, the above two steps are executed… CONTINUE READING

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