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Paper Abstract and Keywords
Presentation 2026-06-11 13:45
Effects of Exploration Phase Structures and Agent Selection Conditions on the Search Characteristics of the Orca Predation Algorithm
Ibuki Nakamura (Shizuoka Univ.), Takeshi Kamio (Hiroshima City Univ.) NLP2026-8 CCS2026-8
Abstract (in Japanese) (See Japanese page) 
(in English) The Orca Predation Algorithm (OPA) is a swarm-intelligence-based metaheuristic optimization method inspired by the hunting behavior of orcas. OPA updates search agents through multiple phases corresponding to driving, encircling, and attacking, thereby iteratively improving candidate solutions in the search space. In this study, we investigate the effects of the number of elite agents $N_{mathrm{elite}}$, the number of randomly selected agents $N_{mathrm{global}}$, and the phase structure on the search performance of OPA. The results suggest that $N_{mathrm{elite}}$ influences the convergence speed and search diversity depending on the structure of the objective function. They also indicate that $N_{mathrm{global}}$ affects the diversity and stability of the search direction in the attacking phase and should be configured according to the characteristics of the objective function. Furthermore, the comparison of phase structures suggests that driving contributes to solution improvement and convergence, whereas encircling may contribute to maintaining search diversity.
Keyword (in Japanese) (See Japanese page) 
(in English) Orca Predation Algorithm(OPA) / Swarm Intelligence / Metaheuristic Optimization / Benchmark Problems / Search Diversity / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 68, NLP2026-8, pp. 36-41, June 2026.
Paper # NLP2026-8 
Date of Issue 2026-06-04 (NLP, 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 NLP2026-8 CCS2026-8

Conference Information
Committee CCS NLP  
Conference Date 2026-06-11 - 2026-06-12 
Place (in Japanese) (See Japanese page) 
Place (in English) I-site Namba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear Problems, Complex Communication Sciences, etc. 
Paper Information
Registration To NLP 
Conference Code 2026-06-CCS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effects of Exploration Phase Structures and Agent Selection Conditions on the Search Characteristics of the Orca Predation Algorithm 
Sub Title (in English)  
Keyword(1) Orca Predation Algorithm(OPA)  
Keyword(2) Swarm Intelligence  
Keyword(3) Metaheuristic Optimization  
Keyword(4) Benchmark Problems  
Keyword(5) Search Diversity  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ibuki Nakamura  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
2nd Author's Name Takeshi Kamio  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2026-06-11 13:45:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2026-8, CCS2026-8 
Volume (vol) vol.126 
Number (no) no.68(NLP), no.69(CCS) 
Page pp.36-41 
#Pages 6 
Date of Issue 2026-06-04 (NLP, CCS) 

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