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Authors: Nam-Geun Kim ; Youngsu Park and Sang Woo Kim

Affiliation: Pohang University of Science and Technology (POSTETH), Korea, Republic of

Keyword(s): Global optimization, Genetic algorithms, Pattern search.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: In this paper, we present a new evolutionary algorithm called genetic pattern search algorithm (GPSA). The proposed algorithm is closely related to genetic algorithms (GAs) which use binary-coded genes. The main contribution of this paper is to propose a binary-coded pattern called digital pattern which is transformed from the real-coded pattern in general pattern search methods. In addition, we offer a self-adapting genetic algorithm by adopting a digital pattern that modifies the step size and encoding resolution of previous optimization procedures, and chases the optimal pattern’s direction. Finally, we compare GPSA with GA in the robustness and performance of optimization. All experiments employ the well-known benchmark functions whose functional values and coordinates of each global minimum have already been reported.

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Paper citation in several formats:
Kim, N.; Park, Y. and Woo Kim, S. (2007). DIGITAL PATTERN SEARCH AND ITS HYBRIDIZATION WITH GENETIC ALGORITHMS FOR GLOBAL OPTIMIZATION. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-82-5; ISSN 2184-2809, SciTePress, pages 380-387. DOI: 10.5220/0001650903800387

@conference{icinco07,
author={Nam{-}Geun Kim. and Youngsu Park. and Sang {Woo Kim}.},
title={DIGITAL PATTERN SEARCH AND ITS HYBRIDIZATION WITH GENETIC ALGORITHMS FOR GLOBAL OPTIMIZATION},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={380-387},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001650903800387},
isbn={978-972-8865-82-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - DIGITAL PATTERN SEARCH AND ITS HYBRIDIZATION WITH GENETIC ALGORITHMS FOR GLOBAL OPTIMIZATION
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Kim, N.
AU - Park, Y.
AU - Woo Kim, S.
PY - 2007
SP - 380
EP - 387
DO - 10.5220/0001650903800387
PB - SciTePress

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