Work

Solving a Long-Distance Routing Problem using Ant Colony Optimization

Year: 2015

Type: article

Abstract: This paper presents a mathematical model and an algorithm based on ant colony optimization to solve a long distance routing \nproblems. The size of freight is relatively small, which uses Last In First Out “LIFO” policy and with several time constraints. The \nobjective consists of reducing costs by optimizing the loading of goods in vehicles grouping orders and minimizing number of routes. \nThe performance of the algorithm has been proved using experimental data based on historical data from a large Spanish transport \ncompany.

Source: Re-Unir (International University of La Rioja)

DOI: 10.12785/amis/092l16

Authors: Juan Antonio Sicilia Montalvo, María-José Oliveros, Emilio Larrodé, Beatriz Royo

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W2182015126

FWCI: 3.506

Cites: 11

Cited by: 8

Related to: 10