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 2026-03-17 09:40
Dynamic Programming-Based Learning Data Generation for a Pattern Generator
Keisuke Tsutsumi, Misa Fujita (Chukyo Univ.) CCS2025-56
Abstract (in Japanese) (See Japanese page) 
(in English) In population-based metaheuristics, it is important to achieve both high quality and sufficient diversity of initial
solutions. For the 0-1 knapsack problem, a method has been proposed that learns the characteristics of high-quality solutions
using a supervised neural network and generates multiple mutually different solutions that exhibit those characteristics. It has
been reported that a genetic algorithm initialized with the solutions generated by this method can reach an optimal solution
in fewer generations than a genetic algorithm initialized with randomly generated solutions. However, in the previous work,
training data are generated by exhaustive enumeration, which makes it difficult to apply the method to large-scale problem
instances. In this study, we propose a training-data generation method that does not rely on exhaustive enumeration. Specifically, we obtain an optimal solution by dynamic programming and use structurally similar solutions in its neighborhood as
training data. Numerical experiments confirm that the proposed method achieves search performance comparable to that of
the enumeration-based approach while using approximately one-tenth as many training samples.
Keyword (in Japanese) (See Japanese page) 
(in English) Pattern generator / neural network / genetic algorithm / dynamic programing / knapsack problem / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 416, CCS2025-56, pp. 12-16, March 2026.
Paper # CCS2025-56 
Date of Issue 2026-03-10 (CCS) 
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 CCS2025-56

Conference Information
Committee CCS  
Conference Date 2026-03-17 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) RUSUTSU RESORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CCS, etc. 
Paper Information
Registration To CCS 
Conference Code 2026-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Programming-Based Learning Data Generation for a Pattern Generator 
Sub Title (in English)  
Keyword(1) Pattern generator  
Keyword(2) neural network  
Keyword(3) genetic algorithm  
Keyword(4) dynamic programing  
Keyword(5) knapsack problem  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Keisuke Tsutsumi  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Misa Fujita  
2nd Author's Affiliation Chukyo University (Chukyo Univ.)
3rd Author's Name  
3rd Author's Affiliation ()
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 2026-03-17 09:40:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2025-56 
Volume (vol) vol.125 
Number (no) no.416 
Page pp.12-16 
#Pages 5 
Date of Issue 2026-03-10 (CCS) 

[Return to Top Page]

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