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Authors: Eugénia Moreira Bernardino 1 ; Anabela Moreira Bernardino 1 ; Juan Manuel Sánchez-Pérez 2 ; Juan Antonio Gómez-Pulido 2 and Miguel Angel Vega-Rodríguez 2

Affiliations: 1 School of Technology and Management and Polytechnic Institute of Leiria, Portugal ; 2 Polytechnic School and University of Extremadura, Spain

Keyword(s): Communication networks, Terminal assignment problem, Optimisation algorithms, Population-based incremental learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Bio-inspired Hardware and Networks ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing ; Swarm/Collective Intelligence

Abstract: In the last decade, we have seen a significant growth in communication networks. In centralised communication networks, a central computer serves several terminals or workstations. In large networks, some concentrators are used to increase the network efficiency. A collection of terminals is connected to a concentrator and each concentrator is connected to the central computer. In this paper we propose a Hybrid Population-based Incremental Learning (HPBIL) to assign terminals to concentrators. We use this algorithm to determine the minimum cost to form a network by connecting a given collection of terminals to a given collection of concentrators. We show that HPBIL is able to achieve good solutions, improving the results obtained by previous approaches.

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Paper citation in several formats:
Moreira Bernardino, E.; Moreira Bernardino, A.; Sánchez-Pérez, J.; Gómez-Pulido, J. and Vega-Rodríguez, M. (2010). HYBRID POPULATION-BASED INCREMENTAL LEARNING TO ASSIGN TERMINALS TO CONCENTRATORS . In Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC; ISBN 978-989-8425-31-7, SciTePress, pages 182-189. DOI: 10.5220/0003076301820189

@conference{icec10,
author={Eugénia {Moreira Bernardino}. and Anabela {Moreira Bernardino}. and Juan Manuel Sánchez{-}Pérez. and Juan Antonio Gómez{-}Pulido. and Miguel Angel Vega{-}Rodríguez.},
title={HYBRID POPULATION-BASED INCREMENTAL LEARNING TO ASSIGN TERMINALS TO CONCENTRATORS },
booktitle={Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC},
year={2010},
pages={182-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003076301820189},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC
TI - HYBRID POPULATION-BASED INCREMENTAL LEARNING TO ASSIGN TERMINALS TO CONCENTRATORS
SN - 978-989-8425-31-7
AU - Moreira Bernardino, E.
AU - Moreira Bernardino, A.
AU - Sánchez-Pérez, J.
AU - Gómez-Pulido, J.
AU - Vega-Rodríguez, M.
PY - 2010
SP - 182
EP - 189
DO - 10.5220/0003076301820189
PB - SciTePress

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