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Paper Abstract and Keywords
Presentation 2024-09-05 16:10
Performance evaluation of various deletion strategies in adaptive large neighborhood search method -- For vehicle routing problem with drones --
Kazuma Nakajima, Takayuki Kimura (NIT) NLP2024-50
Abstract (in Japanese) (See Japanese page) 
(in English) The transportation industry has faced significant challenges due to the rising number of parcels handled by couriers and the concurrent shortage of delivery drivers. In response, the industry is exploring more efficient delivery methods, with the use of drones emerging as a promising solution. The Vehicle Routing Problem with Drones (VRPD) has been proposed as a combinatorial optimization problem, focusing on minimizing delivery costs, including fuel consumption and delivery time. To address this, an adaptive large neighborhood search (ALNS) method has been suggested. The performance of ALNS methods often hinges on the efficiency of customer removal operations. This report evaluates the effectiveness of the traditional ALNS approach by incorporating a novel deletion operation aimed at expanding the solution search space.
Keyword (in Japanese) (See Japanese page) 
(in English) Vehicle Routing Problems / Combinatorial optimization problems / Adaptive Large Neighborhood Search / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 178, NLP2024-50, pp. 46-51, Sept. 2024.
Paper # NLP2024-50 
Date of Issue 2024-08-29 (NLP) 
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 NLP2024-50

Conference Information
Committee NLP  
Conference Date 2024-09-05 - 2024-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Takayama City Library 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear Problems, etc. 
Paper Information
Registration To NLP 
Conference Code 2024-09-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance evaluation of various deletion strategies in adaptive large neighborhood search method 
Sub Title (in English) For vehicle routing problem with drones 
Keyword(1) Vehicle Routing Problems  
Keyword(2) Combinatorial optimization problems  
Keyword(3) Adaptive Large Neighborhood Search  
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1st Author's Name Kazuma Nakajima  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Takayuki Kimura  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2024-09-05 16:10:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2024-50 
Volume (vol) vol.124 
Number (no) no.178 
Page pp.46-51 
#Pages 6 
Date of Issue 2024-08-29 (NLP) 

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