Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
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 2023-03-10 15:50
Search Space Reduction using Neighborhood in Genetic Algorithm
Natsumi Takahashi, Tetsushi Yuge (NDA), Tomoaki Akiba (CIT) R2022-54
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we consider two-objective network design problem with all-terminal reliability and construction costs. There is a trade-off relation between reliability and costs. Therefore, we need to obtain Pareto solutions for network evaluation. However, multi-objective network requires much time to obtain Pareto solutions when the number of nodes or edges is large. To obtain the Pareto front in a reasonable time, previous study proposed an algorithm which used genetic algorithm (GA) to generate solutions. For solution search, we need to reduce the generation size and population size, because evaluating all-terminal reliability is computationally intractable. Therefore, we propose the search reduction algorithm using neighborhood. This process reflects Pareto solutions properties and superiority with parents solutions, and generates the next population effectively. Then, the accuracy of our proposed algorithm is evaluated by numerical experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Objective Network / All-Terminal Reliability / Pareto Solutions / Genetic Algorithm / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 420, R2022-54, pp. 37-40, March 2023.
Paper # R2022-54 
Date of Issue 2023-03-03 (R) 
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 R2022-54

Conference Information
Committee R  
Conference Date 2023-03-10 - 2023-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability General 
Paper Information
Registration To R 
Conference Code 2023-03-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Search Space Reduction using Neighborhood in Genetic Algorithm 
Sub Title (in English)  
Keyword(1) Multi-Objective Network  
Keyword(2) All-Terminal Reliability  
Keyword(3) Pareto Solutions  
Keyword(4) Genetic Algorithm  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Natsumi Takahashi  
1st Author's Affiliation National Defense Academy (NDA)
2nd Author's Name Tetsushi Yuge  
2nd Author's Affiliation National Defense Academy (NDA)
3rd Author's Name Tomoaki Akiba  
3rd Author's Affiliation Chiba Institute of Technology (CIT)
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 ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2023-03-10 15:50:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2022-54 
Volume (vol) vol.122 
Number (no) no.420 
Page pp.37-40 
#Pages 4 
Date of Issue 2023-03-03 (R) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan