A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization

@inproceedings{Shi2007ANL,
  title={A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization},
  author={Hui Shi and Sanyou Zeng and Hui Wang and Gang Liu and Guang Chen and Hugo de Garis and Lishan Kang},
  booktitle={ISICA},
  year={2007}
}
  • Hui Shi, Sanyou Zeng, +4 authors Lishan Kang
  • Published in ISICA 2007
  • Mathematics, Computer Science
  • In the present study, a novel strategy of Lower-dimensional-Search Algorithm (LDSA) is proposed for solving the complex numerical optimization problems. The crossover operator of the LDSA algorithm searches a lower-dimensional neighbor of the parent points where the neighbor center is the parents' barycenter, therefore, the new algorithm converges fast. The niche impaction operator and the offspring mutation operator preserve the diversity of the population. The proposed LDSA strategies are… CONTINUE READING

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