A multi-swarm bat algorithm for global optimization

@article{Wang2015AMB,
  title={A multi-swarm bat algorithm for global optimization},
  author={Gaige Wang and Bao Cheng Chang and Zhaojun Zhang},
  journal={2015 IEEE Congress on Evolutionary Computation (CEC)},
  year={2015},
  pages={480-485}
}
By simulating the echolocation behavior of bats in nature, bat algorithm (BA) is proposed for global optimization that is a recently developed nature-inspired algorithm. Since then, it has been widely used in various fields. Bat algorithm balance the global search and local search by adjusting loudness and pulse rate. However, there is so many loudness and pulse rate combinations that it is hard to choose the most proper one for different problems. In this paper, a multi-swarm algorithm, called… CONTINUE READING