Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

@article{Wang2011EnhancedOD,
  title={Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems},
  author={Hui Wang and Zhijian Wu and Shahryar Rahnamayan},
  journal={Soft Comput.},
  year={2011},
  volume={15},
  pages={2127-2140}
}
This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve highdimensional optimization problems efficiently. The proposed approach, namely GODE, employs similar schemes of opposition-based DE (ODE) for opposition-based population initialization and… CONTINUE READING