How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?-Reference-Cited by-同舟云学术

How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?

Published:2014 Issue: Volume: Page:98-105
ISSN:0302-9743
Container-title:Swarm Intelligence Based Optimization
language:
Short-container-title:

Author:

Bassimir Bernd,Schmitt Manuel,Wanka Rolf

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12970-9_11

Reference7 articles.

1. Clerc, M., Kennedy, J.: The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6, 58–73 (2002); doi: 10.1109/4235.985692

2. Lehre, P.K., Witt, C.: Finite first hitting time versus stochastic convergence in particle swarm optimisation (2011). http://arxiv.org/abs/1105.5540

3. Schmitt, M., Wanka, R.: Particle swarm optimization almost surely finds local optima. In: Proc. 15th Genetic and Evolutionary Computation Conference (GECCO), pp. 1629–1636 (2013); doi: 10.1145/2463372.2463563

4. Schmitt, M., Wanka, R.: Particles prefer walking along the axes: Experimental insights into the behavior of a particle swarm. In: Companion of Proc. 15th Genetic and Evolutionary Computation Conference (GECCO), pp. 17–18 (2013); doi: 10.1145/2464576.2464583

5. Shi, X.H., Liang, Y.C., Leeb, H.P., Lu, C., Wang, Q.: Particle swarm optimization-based algorithms for TSP and generalized TSP. Information Processing Letters, (103), 169–176 (2007); doi: 10.1016/j.ipl.2007.03.010

Cited by 2 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

1. Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves;Swarm Intelligence;2020-09-10

2. Theory of particle swarm optimization: A survey of the power of the swarm’s potential;it - Information Technology;2019-08-01