ON THE DESIGN OF POPULATIONAL CLUSTERING

Leonardo Ramos Emmendorfer

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Paper

ON THE DESIGN OF POPULATIONAL CLUSTERING

Topics: Genetic Algorithms; Machine Learning

In Proceedings of the International Conference on Evolutionary Computation - Volume 0IJCCI, 289-292, 2010 , Valencia, Spain

Author: Leonardo Ramos Emmendorfer

Affiliation: Federal University of Rio Grande, Brazil

Keyword(s): Supervised clustering, Building blocks, Diversity.

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: The application of clustering algorithms for partitioning the population in evolutionary computation is discussed. Specific aspects which characterize this task lead to opportunities which can be explored by the clustering algorithm. A supervised clustering algorithm is described, which illustrates the exploration of those opportunities.

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Paper citation in several formats:

Ramos Emmendorfer, L. (2010). ON THE DESIGN OF POPULATIONAL CLUSTERING. In Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC; ISBN 978-989-8425-31-7, SciTePress, pages 289-292. DOI: 10.5220/0003114202890292

@conference{icec10,
author={Leonardo {Ramos Emmendorfer}.},
title={ON THE DESIGN OF POPULATIONAL CLUSTERING},
booktitle={Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC},
year={2010},
pages={289-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003114202890292},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC
TI - ON THE DESIGN OF POPULATIONAL CLUSTERING
SN - 978-989-8425-31-7
AU - Ramos Emmendorfer, L.
PY - 2010
SP - 289
EP - 292
DO - 10.5220/0003114202890292
PB - SciTePress