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Paper Abstract and Keywords
Presentation 2022-01-22 13:15
A study on performance of local search methods for Electric Vehicle Routing Problem with Time Windows
Jun Adachi, Takafumi Matsuura, Takayuki Kimura (NIT) NLP2021-104 MICT2021-79 MBE2021-65
Abstract (in Japanese) (See Japanese page) 
(in English) The rapid increase of delivery goods and shortage of drivers causes the construction of efficient delivery routes that minimize vehicle usage and their total distance in the transportation companies. Furthermore, using electric vehicles that reduce CO2 emissions enables us to make future echo society. From these viewpoints, recent studies on solving vehicle routing problems used electric vehicles, constructing the electric vehicle routing problems with time windows. As a solving method for the electric vehicle routing problems with time windows, Adaptive Large Neighborhood Search(ALNS) that probabilistically uses several local search methods has been proposed. ALNS algorithm assigns a score to each local method and selects one of these local methods by using preferential probability based on improving rates of the current solution and scores. In this work, we analyze the time-series of these scores, and we used the approximated values of scores instead of original ones. Numerical simulations then illustrate that the searching process and the computational complexity are reduced using the approximated functions.
Keyword (in Japanese) (See Japanese page) 
(in English) Electric Vehicle Routing Problems with Time Window / Combinatorial optimization problems / Metaheuristics / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 335, NLP2021-104, pp. 143-148, Jan. 2022.
Paper # NLP2021-104 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 
ISSN Online edition: ISSN 2432-6380
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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 NLP2021-104 MICT2021-79 MBE2021-65

Conference Information
Committee NLP MICT MBE NC  
Conference Date 2022-01-21 - 2022-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2022-01-NLP-MICT-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on performance of local search methods for Electric Vehicle Routing Problem with Time Windows 
Sub Title (in English)  
Keyword(1) Electric Vehicle Routing Problems with Time Window  
Keyword(2) Combinatorial optimization problems  
Keyword(3) Metaheuristics  
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1st Author's Name Jun Adachi  
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 2022-01-22 13:15:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2021-104, MICT2021-79, MBE2021-65 
Volume (vol) vol.121 
Number (no) no.335(NLP), no.336(MICT), no.337(MBE) 
Page pp.143-148 
#Pages 6 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 

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