Growing Particle Swarm Optimizers for Multi-Objective Problems in Design of DC-AC Inverters

被引：1
作者：
Ono, Katsuma [1 ]
Jin'no, Kenya [2 ]
Saito, Toshimichi [1 ]
机构：
[1] Hosei Univ, Koganei, Tokyo 1848584, Japan
[2] Nippon Inst Technol, Saitama 3458501, Japan
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2011年 / E94A卷 / 01期
关键词：
swarm intelligence; power electronics; particle swarm optimizers; multi-objective problems; DC-AC inverters;
D O I：
10.1587/transfun.E94.A.430
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：430 / 433
页数：4
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