Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s11721-017-0141-x/fulltext.html
Reference42 articles.
1. Atkinson, K., & Han, W. (2009). Theoretical numerical analysis: A functional analysis framework. Heidelberg: Springer.
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3. Bonyadi, M., & Michalewicz, Z. (2016a). Particle swarm optimization for single objective continuous space problems: A review. Evolutionary Computation, 25(1), 1–54.
4. Bonyadi, M., & Michalewicz, Z. (2016b). Stability analysis of the particle swarm optimization without stagnation assumption. IEEE Transactions on Evolutionary Computation, 20(5), 814–819.
5. Bonyadi, M., Michalewicz, Z., & Li, X. (2014). An analysis of the velocity updating rule of the particle swarm optimization algorithm. Journal of Heuristics, 20(4), 417–452.
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