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| Paper Abstract and Keywords | ||
| Presentation | 2022-11-17 13:50 A chaotic search method with stochastic solution transitions for electric vehicle routing problem with time windows Jun Adachi, Takafumi Matsuura, Takayuki Kimura (NIT)  CCS2022-45 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | 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 ${rm CO}_2$ emissions enables us to achieve carbon neutrality and SDGs society. Recent studies on solving vehicle routing problems used electric vehicles. In this study, we proposed a chaotic search method with stochastic solution transitions, which shows higher searching performance than conventional chaotic search, for solving the electric vehicle routing problem with time windows and partial recharging in collective customer placement instances. From numerical experiments, we confirmed that the chaotic search method with stochastic solution transitions strategy is more effective in reducing the number of vehicles than the chaotic search method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Electric Vehicle Routing Problems with Time Windows / Combinatorial optimization problems / Chaotic dynamics / Chaos search / Metaheuristics / Simulated Annealing / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 255, CCS2022-45, pp. 9-13, Nov. 2022. | |
| Paper # | CCS2022-45 | |
| Date of Issue | 2022-11-10 (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 | CCS2022-45 |
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| Conference Information | |
| Committee | CCS |
| Conference Date | 2022-11-17 - 2022-11-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CCS |
| Conference Code | 2022-11-CCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A chaotic search method with stochastic solution transitions for electric vehicle routing problem with time windows |
| Sub Title (in English) | |
| Keyword(1) | Electric Vehicle Routing Problems with Time Windows |
| Keyword(2) | Combinatorial optimization problems |
| Keyword(3) | Chaotic dynamics |
| Keyword(4) | Chaos search |
| Keyword(5) | Metaheuristics |
| Keyword(6) | Simulated Annealing |
| Keyword(7) | |
| Keyword(8) | |
| 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 | 2022-11-17 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | CCS |
| Paper # | CCS2022-45 |
| Volume (vol) | vol.122 |
| Number (no) | no.255 |
| Page | pp.9-13 |
| #Pages | 5 |
| Date of Issue | 2022-11-10 (CCS) |
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