Urban freight distribution with electric vehicles: comparing some solution procedures

The Vehicle Routing Problem (VRP) is a well-known discrete optimization problem that has an impact on theoretical and practical applications. In this paper, a freight distribution model that includes a charging system located at the depot, making it feasible for real world-implementation, is proposed. Two different solution methods are proposed and compared: a genetic algorithm (GA) and a population-based simulated annealing (PBSA) with the number of moves increasing during the iterations. Among the variety of algorithm used to solve the VRP, population-based search methods are the most useful, due to the ability to update the memory at each iteration. To demonstrate the practical aspects of the proposed solution a case study is solved using travel time on a real network to evaluate the potentiality for a real-world application.

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Publication Details

Journal
Frontiers in Future Transportation
Published
2024-10-18
DOI
https://doi.org/10.3389/ffutr.2024.1491799
Citations
6
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
1.59
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article

Urban freight distribution with electric vehicles: comparing some solution procedures

Orlando Marco Belcore, Antonio Polimeni, A. di Donato
6 citations
Frontiers in Future Transportation
Urban and Freight Transport Logistics
1.59
article

Urban freight distribution with electric vehicles: comparing some solution procedures

Orlando Marco Belcore, Antonio Polimeni, A. di Donato
article en
6 citations

Abstract

The Vehicle Routing Problem (VRP) is a well-known discrete optimization problem that has an impact on theoretical and practical applications. In this paper, a freight distribution model that includes a charging system located at the depot, making it feasible for real world-implementation, is proposed. Two different solution methods are proposed and compared: a genetic algorithm (GA) and a population-based simulated annealing (PBSA) with the number of moves increasing during the iterations. Among the variety of algorithm used to solve the VRP, population-based search methods are the most useful, due to the ability to update the memory at each iteration. To demonstrate the practical aspects of the proposed solution a case study is solved using travel time on a real network to evaluate the potentiality for a real-world application.

Frontiers in Future TransportationVol. 5
University of Messina (IT)
Sustainable cities and communities
Openalex Percentile: Top 18%
Urban and Freight Transport Logistics
1.59
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Urban freight distribution with electric vehicles: comparing some solution procedures — Orlando Marco Belcore, Antonio Polimeni, et al. · Frontiers in Future Transportation (2024) | TGRS Research Map | TGRS