The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Esta carta estuda a aplicação do crescente PSO ao projeto de inversores DC-AC. Nesta aplicação, cada partícula corresponde a um conjunto de parâmetros do circuito e se move para resolver um problema multiobjetivo de distorção harmônica total e potência média desejada. O problema é descrito pela aptidão híbrida que consiste em função objetivo analógica, critério e lógica digital. O PSO possui estrutura crescente e parâmetros de aceleração dinâmica. Realizando experimentos numéricos básicos, confirmamos a eficiência do algoritmo.
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Katsuma ONO, Kenya JIN'NO, Toshimichi SAITO, "Growing Particle Swarm Optimizers for Multi-Objective Problems in Design of DC-AC Inverters" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 1, pp. 430-433, January 2011, doi: 10.1587/transfun.E94.A.430.
Abstract: This letter studies application of the growing PSO to the design of DC-AC inverters. In this application, each particle corresponds to a set of circuit parameters and moves to solve a multi-objective problem of the total harmonic distortion and desired average power. The problem is described by the hybrid fitness consisting of analog objective function, criterion and digital logic. The PSO has growing structure and dynamic acceleration parameters. Performing basic numerical experiments, we have confirmed the algorithm efficiency.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.430/_p
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@ARTICLE{e94-a_1_430,
author={Katsuma ONO, Kenya JIN'NO, Toshimichi SAITO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Growing Particle Swarm Optimizers for Multi-Objective Problems in Design of DC-AC Inverters},
year={2011},
volume={E94-A},
number={1},
pages={430-433},
abstract={This letter studies application of the growing PSO to the design of DC-AC inverters. In this application, each particle corresponds to a set of circuit parameters and moves to solve a multi-objective problem of the total harmonic distortion and desired average power. The problem is described by the hybrid fitness consisting of analog objective function, criterion and digital logic. The PSO has growing structure and dynamic acceleration parameters. Performing basic numerical experiments, we have confirmed the algorithm efficiency.},
keywords={},
doi={10.1587/transfun.E94.A.430},
ISSN={1745-1337},
month={January},}
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TY - JOUR
TI - Growing Particle Swarm Optimizers for Multi-Objective Problems in Design of DC-AC Inverters
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 430
EP - 433
AU - Katsuma ONO
AU - Kenya JIN'NO
AU - Toshimichi SAITO
PY - 2011
DO - 10.1587/transfun.E94.A.430
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2011
AB - This letter studies application of the growing PSO to the design of DC-AC inverters. In this application, each particle corresponds to a set of circuit parameters and moves to solve a multi-objective problem of the total harmonic distortion and desired average power. The problem is described by the hybrid fitness consisting of analog objective function, criterion and digital logic. The PSO has growing structure and dynamic acceleration parameters. Performing basic numerical experiments, we have confirmed the algorithm efficiency.
ER -