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Authors: Toshimichi Saito 1 and Kengo Kawamurae 2

Affiliations: 1 Hosei University, Japan ; 2 Hitachi Appliances and Inc., Japan

ISBN: 978-989-8425-83-6

Keyword(s): Particle swarm optimizers, Swarm intelligence, Power electronics.

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

Abstract: This paper presents varying dimensional particle swarm optimizers for design of switching signals in circuits and systems. The particle position and dimension correspond to the switching phase and the number of switches, respectively. The dimension can vary depending on an objective function in the search process, i.e., the number of switches is adjustable automatically. The algorithm is defined for a multi-objective problem described by the hybrid fitness consisting of analog functions and digital logic. The algorithm is defined in a general form and the performance is investigated in an example: design of a switching signal for single phase inverters with a two-objective problem corresponding to total harmonic distortion and power sufficiency.

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Paper citation in several formats:
Saito, T. and Kawamurae, K. (2011). VARYING DIMENSIONAL PARTICLE SWARM OPTIMIZERS FOR DESIGN OF SWITCHING SIGNALS.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 259-262. DOI: 10.5220/0003621502590262

@conference{ecta11,
author={Toshimichi Saito. and Kengo Kawamurae.},
title={VARYING DIMENSIONAL PARTICLE SWARM OPTIMIZERS FOR DESIGN OF SWITCHING SIGNALS},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={259-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003621502590262},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - VARYING DIMENSIONAL PARTICLE SWARM OPTIMIZERS FOR DESIGN OF SWITCHING SIGNALS
SN - 978-989-8425-83-6
AU - Saito, T.
AU - Kawamurae, K.
PY - 2011
SP - 259
EP - 262
DO - 10.5220/0003621502590262

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