A Collective Neurodynamic Approach to Constrained Global Optimization

@article{Yan2017ACN,
  title={A Collective Neurodynamic Approach to Constrained Global Optimization},
  author={Zheng Yan and Jianchao Fan and Jun Wang},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2017},
  volume={28},
  pages={1206-1215}
}
Global optimization is a long-lasting research topic in the field of optimization, posting many challenging theoretic and computational issues. This paper presents a novel collective neurodynamic method for solving constrained global optimization problems. At first, a one-layer recurrent neural network (RNN) is presented for searching the Karush–Kuhn–Tucker points of the optimization problem under study. Next, a collective neuroydnamic optimization approach is developed by emulating the… CONTINUE READING