Bi-objective Optimization with Partial Variable-length Coding Method for Mixed Fleet Vehicle Routing Problem

This paper is concerned with the routing problem of a mixed vehicle fleet composed by both electric and conventional vehicles. A bi-objective model with the aim of minimizing carbon emissions and maximising customer satisfaction is established. To further tackle the challenges posed by the distinct...

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Vydané v:Chinese Control Conference s. 6596 - 6601
Hlavní autori: Li, Shilong, Du, Shengli, Wu, Di, Gao, Yongfeng
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Predmet:
Batteries
Carbon dioxide
Customer satisfaction
Encoding
Mixed Fleet Vehicle Routing Problem
NSGA-II
Optimization methods
Partial Variable-length Coding Method
Routing
Vehicle routing
ISSN:1934-1768
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Shrnutí:This paper is concerned with the routing problem of a mixed vehicle fleet composed by both electric and conventional vehicles. A bi-objective model with the aim of minimizing carbon emissions and maximising customer satisfaction is established. To further tackle the challenges posed by the distinct constraints of electric and conventional vehicles, a partial variable-length coding method is introduced to facilitate chromosome generation in the model. Then, a novel NSGA-II including the above designed coding method is proposed for solving the optimization problem. By comparing the experiments results of solving separate single-objective optimization and the two conflict optimization objectives simultaneously, it is verified that the proposed encoding approach and algorithm is effective. The results suggest that the bi-objective model is well-established, demonstrating the anticipated conflict between the two objectives. Additionally, the partial variable-length coding method is shown to be effective in achieving chromosome generation tasks.
ISSN:1934-1768
DOI:10.23919/CCC63176.2024.10662585