Author:
Xin Bin,Chen Jie,Peng ZhiHong,Pan Feng
Publisher
Springer Science and Business Media LLC
Reference20 articles.
1. Chen J, Xin B, Peng Z H, et al. Statistical learning makes the hybridization of particle swarm and differential evolution more efficient-a novel hybrid optimizer. Sci China Ser F-Inf Sci, 2009, 52: 1278–1282
2. Clerc M, Kennedy J. The particle swarm: explosion, stability and convergence in a multi-dimensional complex space. IEEE Trans Evol Comput, 2002, 6: 58–73
3. Price K, Storn R M, Lampinen J A. Differential Evolution: a Practical Approach to Global Optimization (Natural Computing Series). New York: Springer, 2005
4. Kennedy J, Mendes R. Population structure and particle swarm performance. In: Proceedings of the World Congress on Computational Intelligence, Honolulu, HI, USA, 2002. 1671–1676
5. Ratnaweera A, Halgamuge S K, Watson H C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans Evol Comput, 2004, 8: 240–255
Cited by
44 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献