Presentation | 2010-11-20 On Multi-Objective Optimization of Switching Circuits Operation based on Swarm Intelligence Chihiro KUROSU, Kengo KAWAMURA, Toshimichi SAITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper studies multi-objective optimization algorithms based on swarm intelligence. We consider optimization of switching operation of the PWM inverters as an example. In this application, each agent corresponds to switching pheases of the inverters and varies to improve two objects of the total harmonic distortion (THD) and average power. In proposed algorithm, it is permitted that fitness of component function which constitutes object function increase below the criteria. The tolerant evaluation enables search of desired solutions. Furthermore, we introduce adjustment mechanism of the switching frequency to the algorithm. The adjustment of the switching frequency enables search of better solutions for THD and error of average power. Performing basic numerical experiments, effectiveness of proposed algorithm is confirmed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi-Objective Optimization / Swarm Intelligence |
Paper # | NLP2010-107 |
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Committee | NLP |
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Conference Date | 2010/11/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On Multi-Objective Optimization of Switching Circuits Operation based on Swarm Intelligence |
Sub Title (in English) | |
Keyword(1) | Multi-Objective Optimization |
Keyword(2) | Swarm Intelligence |
1st Author's Name | Chihiro KUROSU |
1st Author's Affiliation | EE Dept., Hosei University() |
2nd Author's Name | Kengo KAWAMURA |
2nd Author's Affiliation | EE Dept., Hosei University |
3rd Author's Name | Toshimichi SAITO |
3rd Author's Affiliation | EE Dept., Hosei University |
Date | 2010-11-20 |
Paper # | NLP2010-107 |
Volume (vol) | vol.110 |
Number (no) | 299 |
Page | pp.pp.- |
#Pages | 4 |
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