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| Presentation | 2020-06-29 13:25 A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech)  NC2020-3 IBISML2020-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a new method of distributed intelligent particle multi-swarm optimization (DIPMSO) contrast to the existing method of centralized intelligent particle multi-swarm optimization (CIPMSO) in order to achieve the high-performance and diversity of particle multi-swarm search. The key idea, here, is to change the mode of intelligent judgment in particle multi-swarm search from centralized type to distributed type. Based on the search characteristics making every particle swarm to have an intelligent judgment function, therefore, particle multi-swarm search is performed by parallel processing with independently measuring the search status of each particle swarm. Since the autonomy of each particle swarm search can be retained, this approach will further improve the efficiency and conformity of particle multi-swarm search. Due to confirm the characteristics and effects of the exploratory behavior, many computer experiments are carried out to solve four benchmark problems by the proposed method of DIPMSO. By analyzing the experimental results obtained, specifically, the search performance and effect characteristics of the proposed approach are clarified. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | swarm intelligence / evolutionary computation / particle multi-swarm optimization / parallel processing / intelligent judgment / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 79, NC2020-3, pp. 15-20, June 2020. | |
| Paper # | NC2020-3 | |
| Date of Issue | 2020-06-22 (NC, IBISML) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2020-3 IBISML2020-3 |
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| Conference Information | |
| Committee | NC IBISML IPSJ-BIO IPSJ-MPS |
| Conference Date | 2020-06-29 - 2020-06-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2020-06-NC-IBISML-BIO-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization |
| Sub Title (in English) | |
| Keyword(1) | swarm intelligence |
| Keyword(2) | evolutionary computation |
| Keyword(3) | particle multi-swarm optimization |
| Keyword(4) | parallel processing |
| Keyword(5) | intelligent judgment |
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| 1st Author's Name | Hiroshi Sho |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2020-06-29 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2020-3, IBISML2020-3 |
| Volume (vol) | vol.120 |
| Number (no) | no.79(NC), no.80(IBISML) |
| Page | pp.15-20 |
| #Pages | 6 |
| Date of Issue | 2020-06-22 (NC, IBISML) |
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