Heterogeneous Constraint Handling for Particle Swarm Optimization

Omeltschuk L, Helwig S, Mühlenthaler M, Wanka R (2011)

Publication Type: Conference contribution

Publication year: 2011

Publisher: IEEE Press

Edited Volumes: IEEE SSCI 2011 - Symposium Series on Computational Intelligence - SIS 2011: 2011 IEEE Symposium on Swarm Intelligence

City/Town: New York, NY, USA

Pages Range: 37-43

Conference Proceedings Title: Proc. IEEE Swarm Intelligence Symposium (SIS)

Event location: Paris FR

ISBN: 978-1-61284-053-6

DOI: 10.1109/SIS.2011.5952578


We propose a generic, hybrid constraint handling scheme for particle swarm optimization called Heterogeneous Constraint Handling. Inspired by the notion of social roles, we assign different constraint handling methods to the particles, one for each social role. In this paper, we investigate two social roles for particles, 'self' and 'neighbor'. Due to the usual particle dynamics, a powerful mixture of the two corresponding constraint handling methods emerges. We evaluate this heterogeneous constraint handling approach with respect to the complete set of the CEC 2006 benchmark instances. Our results indicate that a such a heterogeneous combination of two constraint handling methods often leads to significantly better results than running each individual constraint handling method separately and returning the best solution obtained. © 2011 IEEE.

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Omeltschuk, L., Helwig, S., Mühlenthaler, M., & Wanka, R. (2011). Heterogeneous Constraint Handling for Particle Swarm Optimization. In Proc. IEEE Swarm Intelligence Symposium (SIS) (pp. 37-43). Paris, FR: New York, NY, USA: IEEE Press.


Omeltschuk, Ludmila, et al. "Heterogeneous Constraint Handling for Particle Swarm Optimization." Proceedings of the IEEE Swarm Intelligence Symposium (SIS), Paris New York, NY, USA: IEEE Press, 2011. 37-43.

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