A Competitive Swarm Optimizer for Large Scale Optimization

  title={A Competitive Swarm Optimizer for Large Scale Optimization},
  author={Ran Cheng and Yaochu Jin},
  journal={IEEE Transactions on Cybernetics},
In this paper, a novel competitive swarm optimizer (CSO) for large scale optimization is proposed. The algorithm is fundamentally inspired by the particle swarm optimization but is conceptually very different. In the proposed CSO, neither the personal best position of each particle nor the global best position (or neighborhood best positions) is involved in updating the particles. Instead, a pairwise competition mechanism is introduced, where the particle that loses the competition will update… CONTINUE READING
Highly Influential
This paper has highly influenced 16 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 230 citations. REVIEW CITATIONS

14 Figures & Tables



Citations per Year

230 Citations

Semantic Scholar estimates that this publication has 230 citations based on the available data.

See our FAQ for additional information.