IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-03-06 10:20
Optimisation of Boids by particle swarm optimisation based on fish schools
Shun Inadumi, Shudai Ishikawa (NIT, Oita), Keiichi Horio (KIT) SIS2019-50
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper,we present a generic Boids model which is based on the visual field of fish to simulate actual fish school's behaviour.
The original Boids model and the genetic Boids model have three rule vectors.
These vectors are called separation,alignment,cohesion.
The aggregate motion is the result of the interaction of these vectors.
We propose method to optimise coefficients of these vectors,by using particle swarm optimisation algorithm.
After the optimisation,the original Boids model and the genetic Boids model are compared with the measured data using Pearson correlation coefficient and Maximal Information Coefficient.
We compared with the original Boids model and the genetic Boids model..
As a result,the genetic Boids model moved closer to the actual fish schools.
Keyword (in Japanese) (See Japanese page) 
(in English) Flocking behaviour / Fish schools / Boids model / Particle swarm optimisation / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 458, SIS2019-50, pp. 73-78, March 2020.
Paper # SIS2019-50 
Date of Issue 2020-02-27 (SIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 SIS2019-50

Conference Information
Committee SIS  
Conference Date 2020-03-05 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Saitama Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2020-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimisation of Boids by particle swarm optimisation based on fish schools 
Sub Title (in English)  
Keyword(1) Flocking behaviour  
Keyword(2) Fish schools  
Keyword(3) Boids model  
Keyword(4) Particle swarm optimisation  
1st Author's Name Shun Inadumi  
1st Author's Affiliation National Institute of Technology, Oita College (NIT, Oita)
2nd Author's Name Shudai Ishikawa  
2nd Author's Affiliation National Institute of Technology, Oita College (NIT, Oita)
3rd Author's Name Keiichi Horio  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Date Time 2020-03-06 10:20:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2019-50 
Volume (vol) IEICE-119 
Number (no) no.458 
Page pp.73-78 
#Pages IEICE-6 
Date of Issue IEICE-SIS-2020-02-27 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan