
Publica
Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten. Tree Swarm Optimization: An approach to PSO-based tree discovery
| Institute of Electrical and Electronics Engineers -IEEE-: The 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Vol. 2 Piscataway, NJ: IEEE Service Center, 2005 ISBN: 0-7803-9363-5 pp.1238-1245 |
| Congress on Evolutionary Computation <2005, Edinburgh> |
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| English |
| Conference Paper |
| Fraunhofer IPK () |
Abstract
In recent years a swarm-based optimization methodology called Particle Swarm Optimization (PSO) has developed. PSO is highly explorative and primarily used in function optimization. This paper proposes a swarm-based learning algorithm based on PSO which is able to discover trees in tree spaces. Particles are flying through a tree space forming flocks around peaks of a fitness function. Because it inherits the explorative property of PSO, it needs only few evaluations to find suitable trees. ©2005 IEEE.