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Authors: Leandro dos Santos Coelho 1 ; Fabio A. Guerra 2 ; Bruno Pasquim 3 and Viviana Cocco Mariani 4

Affiliations: 1 Pontifical Catholic University of Parana and Industrial and Systems Engineering Graduate Program (PPGEPS) and Federal University of Parana (UFPR), Brazil ; 2 Institute of Technology for Development, Brazil ; 3 Pontifical Catholic University of Parana, Brazil ; 4 Pontifical Catholic University of Parana and Mechanical Engineering Graduate Program (PPGEM) and Federal University Of Parana (UFPR), Brazil

ISBN: 978-989-8565-77-8

Keyword(s): Particle Swarm Optimization, Quantum Mechanics, Chaos Theory, Heat Transfer.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Soft Computing ; Swarm/Collective Intelligence

Abstract: Particle swarm optimization (PSO) algorithms are attracting attentions in recent years, due to their ability of keeping good balance between convergence and diversity maintenance. Several attempts have been made to improve the performance of the original PSO algorithm. Inspired by trajectory analysis of the PSO and quantum mechanics, a quantum-behaved particle swarm optimization (QPSO) algorithm was recently proposed. QPSO has shown some important advantages by providing high speed of convergence in specific problems, but it has a tendency to get stuck in a near optimal solution and one may find it difficult to improve solution accuracy by fine tuning. In this paper, a modified and efficient version of the QPSO combined with chaotic sequences (CQPSO) is proposed and evaluated. We conduct simulations to estimate the unknown variables of an inverse heat transfer problem to verify the performance of the proposed CQPSO method and show that the method can be competitive when compared with the classical QPSO. (More)

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Paper citation in several formats:
dos Santos Coelho, L.; A. Guerra, F.; Pasquim, B. and Cocco Mariani, V. (2013). Chaotic Quantum-behaved Particle Swarm Optimization Approach Applied to Inverse Heat Transfer Problem.In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013) ISBN 978-989-8565-77-8, pages 97-102. DOI: 10.5220/0004538900970102

@conference{ecta13,
author={Leandro dos Santos Coelho. and Fabio A. Guerra. and Bruno Pasquim. and Viviana Cocco Mariani.},
title={Chaotic Quantum-behaved Particle Swarm Optimization Approach Applied to Inverse Heat Transfer Problem},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)},
year={2013},
pages={97-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004538900970102},
isbn={978-989-8565-77-8},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)
TI - Chaotic Quantum-behaved Particle Swarm Optimization Approach Applied to Inverse Heat Transfer Problem
SN - 978-989-8565-77-8
AU - dos Santos Coelho, L.
AU - A. Guerra, F.
AU - Pasquim, B.
AU - Cocco Mariani, V.
PY - 2013
SP - 97
EP - 102
DO - 10.5220/0004538900970102

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