Beyond Standard Particle Swarm Optimisation-Reference-Cited by-同舟云学术

Beyond Standard Particle Swarm Optimisation

Published: Issue: Volume: Page:1-19
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Container-title:Innovations and Developments of Swarm Intelligence Applications
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Author:

Clerc Maurice¹

Affiliation:

1. Independent Consultant, France

Abstract

Currently, two very similar versions of PSO are available that could be called “standard”. While it is easy to merge them, their common drawbacks still remain. Therefore, in this paper, the author goes beyond simple merging by suggesting simple yet robust changes and solving a few well-known, common problems, while retaining the classical structure. The results can be proposed to the “swarmer community” as a new standard.

Publisher

IGI Global

Reference21 articles.

1. Blackwell, T., & Richer, T. J. (2006). The Lévy particle swarm. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC '06), Vancouver, BC, Canada (pp. 808-815). Washington, DC: IEEE Computer Society.

2. Bratton, D., & Kennedy, J. (2007). Defining a standard for particle swarm optimization. In Proceedings of the IEEE Swarm Intelligence Symposium (pp. 120-127). Washington, DC: IEEE Computer Society.

3. Clerc, M. (2003, October). TRIBES - Un exemple d'optimisation par essaim particulaire sans paramètres de contrôle. Paper presented at OEP'03 (Optimisation par Essaim Particulaire), Paris, France.

4. Particle Swarm Optimization

5. Clerc, M. (2006b). Stagnation analysis in particle swarm optimization or what happens when nothing happens. Retrieved July 25, 2010, from http://hal.archives-ouvertes.fr/hal-00122031

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