Paper Abstract and Keywords |
Presentation |
2018-06-13 15:50
Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems Hiroshi Sho (KIT) NC2018-7 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For realizing better search performance and efficiency, in this paper, author proposes three methods which are multiple particle swarm optimizers with sensors (MPSOS), multiple particle swarm optimizers with inertia weight with sensors (MPSOIWS) and multiple canonical particle swarm optimizers with sensors (MCPSOS), respectively. Duo to utilizing the obtained search information, sensor information and selection of the best solution, this approach is possible to promptly track the moving target. In simulation experiments, with changing the parameters (number, sensing distance) of the sensors, we investigate the search feature of each method against a set of benchmark which are the constant speed I type, variable speed II type and III type of tracking problems. Based on analyzing results, we reveal the outstanding search performance and tracking ability of MPSOIWS and MCPSOS methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
swarm intelligence / particle swarm optimization / sensor / tracking ability / cumulative fitness / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 80, NC2018-7, pp. 9-14, June 2018. |
Paper # |
NC2018-7 |
Date of Issue |
2018-06-06 (NC) |
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 |
NC2018-7 |
Conference Information |
Committee |
NC IBISML IPSJ-BIO IPSJ-MPS |
Conference Date |
2018-06-13 - 2018-06-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Institute of Science and Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Machine Learning Approach to Biodata Mining, and General |
Paper Information |
Registration To |
NC |
Conference Code |
2018-06-NC-IBISML-BIO-MPS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems |
Sub Title (in English) |
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swarm intelligence |
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particle swarm optimization |
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sensor |
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tracking ability |
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cumulative fitness |
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1st Author's Name |
Hiroshi Sho |
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Kyushu Institute of Technology (KIT) |
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Speaker |
Author-1 |
Date Time |
2018-06-13 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2018-7 |
Volume (vol) |
vol.118 |
Number (no) |
no.80 |
Page |
pp.9-14 |
#Pages |
6 |
Date of Issue |
2018-06-06 (NC) |
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