Across neighborhood search for numerical optimization

@article{Wu2016AcrossNS,
  title={Across neighborhood search for numerical optimization},
  author={Guohua Wu},
  journal={Inf. Sci.},
  year={2016},
  volume={329},
  pages={597-618}
}
Population-based search algorithms (PBSAs), including swarm intelligence algorithms (SIAs) and evolutionary algorithms (EAs), are competitive alternatives for solving complex optimization problems and they have been widely applied to real-world optimization problems in different fields. In this study, a novel population-based across neighbourhood search (ANS) is proposed for numerical optimization. ANS is motivated by two straightforward assumptions and three important issues raised in… CONTINUE READING