A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization

@article{Peng2014APD,
  title={A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization},
  author={Zhou Peng and Jinhua Zheng and Juan Zou},
  journal={2014 IEEE Congress on Evolutionary Computation (CEC)},
  year={2014},
  pages={274-281}
}
Maintaining population diversity is a crucial issue for the performance of dynamic multiobjective optimization algorithms. However traditional dynamic multiobjective evolutionary algorithms usually imitate the biological evolution of their own, maintain population diversity through different strategies and make the population be able to track the Pareto optimal solution set after the change efficiently. Nevertheless, these algorithms neglect the role of dynamic environment in evolution, lead to… CONTINUE READING

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