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Authors: Tjorben Bogon 1 ; Georgios Poursanidis 2 ; Andreas D. Lattner 2 and Ingo J. Timm 3

Affiliations: 1 Goethe University Frankfurt and University of Trier, Germany ; 2 Goethe University Frankfurt, Germany ; 3 University of Trier, Germany

Keyword(s): Particle swarm optimization, Machine learning, Swarm intelligence, Parameter configuration, Objective function feature Computation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Enterprise Information Systems ; Evolutionary Computing ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: In this paper we introduce a new approach for automatic parameter configuration of Particle Swarm Optimization (PSO) by using features of objective function evaluations for classification. This classification utilizes a decision tree that is trained by using 32 function features. To classify different functions we compute features of the function from observed PSO behavior. These features are an adequate description to compare different objective functions. This approach leads to a trained classifier which gets as input a function and returns a parameter set. Using this parameter set leads to an equal or better optimization process compared to the standard parameter settings of Particle Swarm Optimization on selected test functions.

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Paper citation in several formats:
Bogon, T.; Poursanidis, G.; D. Lattner, A. and J. Timm, I. (2011). EXTRACTION OF FUNCTION FEATURES FOR AN AUTOMATIC CONFIGURATION OF PARTICLE SWARM OPTIMIZATION. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 51-60. DOI: 10.5220/0003134500510060

@conference{icaart11,
author={Tjorben Bogon. and Georgios Poursanidis. and Andreas {D. Lattner}. and Ingo {J. Timm}.},
title={EXTRACTION OF FUNCTION FEATURES FOR AN AUTOMATIC CONFIGURATION OF PARTICLE SWARM OPTIMIZATION},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={51-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003134500510060},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - EXTRACTION OF FUNCTION FEATURES FOR AN AUTOMATIC CONFIGURATION OF PARTICLE SWARM OPTIMIZATION
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Bogon, T.
AU - Poursanidis, G.
AU - D. Lattner, A.
AU - J. Timm, I.
PY - 2011
SP - 51
EP - 60
DO - 10.5220/0003134500510060
PB - SciTePress

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