Multiswarms, exclusion, and anti-convergence in dynamic environments

@article{Blackwell2006MultiswarmsEA,
  title={Multiswarms, exclusion, and anti-convergence in dynamic environments},
  author={Tim Blackwell and Juergen Branke},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2006},
  volume={10},
  pages={459-472}
}
Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we explore new variants of particle swarm optimization (PSO) specifically designed to work well in dynamic environments. The main idea is to split the population of particles into a set of interacting swarms. These swarms interact locally by an exclusion parameter and globally through a new anti-convergence operator. In addition, each swarm… CONTINUE READING
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