Balancing Exploitation and Exploration in Particle Swarm Optimization: Velocity-based Reinitialization

Author:

Binkley Kevin J.1,Hagiwara Masafumi1

Affiliation:

1. Department of Information and Computer Science, Keio University

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference15 articles.

1. [Angeline 98] Angeline, P., Inc, N., and Vestal, N.: Using selection to improve particle swarm optimization, Evolutionary Computation Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pp. 84-89 (1998)

2. [Clerc 99] Clerc, M.: The swarm and the queen: towards a deterministic and adaptive particle swarm optimization, Proceedings of the 1999 Congress on Evolutionary Computation, Vol. 3, (1999)

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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