Presentation 2022-11-17
A chaotic search method with stochastic solution transitions for electric vehicle routing problem with time windows
Jun Adachi, Takafumi Matsuura, Takayuki Kimura,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Electric Vehicle Routing Problems with Time Windows / Combinatorial optimization problems / Chaotic dynamics / Chaos search / Metaheuristics / Simulated Annealing
Paper # CCS2022-45
Date of Issue 2022-11-10 (CCS)

Conference Information
Committee CCS
Conference Date 2022/11/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Megumi Akai(Hokkaido Univ.)
Vice Chair Hidehiro Nakano(Tokyo City Univ.) / Masaki Aida(TMU)
Secretary Hidehiro Nakano(Shibaura Inst. of Tech.) / Masaki Aida(Mie Univ.)
Assistant Hiroyuki Yasuda(Univ. of Tokyo) / Hiroyasu Ando(Tsukuba Univ.) / Tomoyuki Sasaki(Shonan Inst. of Tech.) / Miki Kobayashi(Rissho Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
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
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)
Date 2022-11-17
Paper # CCS2022-45
Volume (vol) vol.122
Number (no) CCS-255
Page pp.pp.9-13(CCS),
#Pages 5
Date of Issue 2022-11-10 (CCS)