A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem

Deyu Tang, Shoubin Dong, Xianfa Cai, Jie Zhao. A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem. Neural Computing and Applications, 27(8):2429-2440, 2016. [doi]

@article{TangDCZ16,
  title = {A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem},
  author = {Deyu Tang and Shoubin Dong and Xianfa Cai and Jie Zhao},
  year = {2016},
  doi = {10.1007/s00521-015-2014-9},
  url = {http://dx.doi.org/10.1007/s00521-015-2014-9},
  researchr = {https://researchr.org/publication/TangDCZ16},
  cites = {0},
  citedby = {0},
  journal = {Neural Computing and Applications},
  volume = {27},
  number = {8},
  pages = {2429-2440},
}