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Authors: Leonardo Vanneschi 1 and Giuseppe Cuccu 2

Affiliations: 1 University of Milano-Bicocca, Italy ; 2 Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Switzerland

ISBN: 978-989-674-014-6

Keyword(s): Genetic programming, Variable size population, Dynamic optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; 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: A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. problems where target functions change with time). The suitability of this model is tested on a set of benchmarks based on some well known symbolic regression problems. Experimental results confirm that our variable size population model finds solutions of similar quality to the ones found by standard Genetic Programming, but with a smaller amount of computational effort.

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Paper citation in several formats:
Vanneschi L. and Cuccu G. (2009). A STUDY OF GENETIC PROGRAMMING VARIABLE POPULATION SIZE FOR DYNAMIC OPTIMIZATION PROBLEMS.In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 119-126. DOI: 10.5220/0002314701190126

@conference{icec09,
author={Leonardo Vanneschi and Giuseppe Cuccu},
title={A STUDY OF GENETIC PROGRAMMING VARIABLE POPULATION SIZE FOR DYNAMIC OPTIMIZATION PROBLEMS},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)},
year={2009},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002314701190126},
isbn={978-989-674-014-6},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)
TI - A STUDY OF GENETIC PROGRAMMING VARIABLE POPULATION SIZE FOR DYNAMIC OPTIMIZATION PROBLEMS
SN - 978-989-674-014-6
AU - Vanneschi L.
AU - Cuccu G.
PY - 2009
SP - 119
EP - 126
DO - 10.5220/0002314701190126

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