| Paper Abstract and Keywords |
| Presentation |
2024-05-09 16:20
Adaptive large neighborhood search for vehicle routing problem with drones Kazuma Nakajima, Takafumi Matsuura, Takayuki Kimura (NIT) NLP2024-8 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, the number of package deliveries has increased dramatically, and the shortage of delivery drivers has become a serious problem. As a result, the transportation industry is looking for more efficient delivery methods.Under these circumstances, the use of unmanned aerial vehicles, or drones, is attracting attention. A Vehicle Routing Problem with Drones (VRPD) has already been proposed that takes into account the use of drones. The objective of this problem is to minimize the cost, including fuel and time, required to deliver packages. An adaptive large neighborhood search method is proposed as a solution to this problem. However, this method always removes customers from the delivery path at the same rate, making it difficult to move to a good solution if the solution search is not successful.In this report, we propose a method to dynamically change the solution search area according to the solution performance, and evaluate its performance. Numerical experiments confirm that the proposed method has a smaller variance than the conventional method, and successfully obtains a smaller value of the objective function. |
| 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. 13, NLP2024-8, pp. 37-42, May 2024. |
| Paper # |
NLP2024-8 |
| Date of Issue |
2024-05-02 (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 |
NLP2024-8 |
| Conference Information |
| Committee |
NLP |
| Conference Date |
2024-05-09 - 2024-05-10 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kagawa Prefecture Social Welfare Center |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Nonlinear Problems, etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2024-05-NLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Adaptive large neighborhood search for vehicle routing problem with drones |
| Sub Title (in English) |
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| 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 |
Takafumi Matsuura |
| 2nd Author's Affiliation |
Nippon Institute of Technology (NIT) |
| 3rd Author's Name |
Takayuki Kimura |
| 3rd Author's Affiliation |
Nippon Institute of Technology (NIT) |
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| Speaker |
Author-1 |
| Date Time |
2024-05-09 16:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
NLP2024-8 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.13 |
| Page |
pp.37-42 |
| #Pages |
6 |
| Date of Issue |
2024-05-02 (NLP) |