Balancing Exploitation and Exploration in Particle Swarm Optimization: Velocity-based Reinitialization
Author:
Affiliation:
1. Department of Information and Computer Science, Keio University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/23/1/23_1_27/_pdf
Reference15 articles.
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3. [Clerc 02] Clerc, M. and Kennedy, J.: The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, pp. 58-73 (2002)
4. [Clerc 06] Clerc, M.: Stagnation analysis in particle swarm optimisation or what happens when nothing happens, Technical Report CSM-460, Department of Computer Science, University of Essex (2006)
5. [Eberhart 00] Eberhart, R. and Shi, Y.: Comparing inertia weights and constriction factors in particle swarm optimization, Proceedings of the 2000 Congress on Evolutionary Computation, Vol. 1, (2000)
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