A modified single-objective genetic algorithm for solving the rural postman problem with load-dependent costs

IF 7.2 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Knowledge-Based Systems Pub Date : 2025-02-14 DOI:10.1016/j.knosys.2025.113146
David De Santis , Mercedes Landete , Xavier Cabezas , José María Sanchis , Juanjo Peiró
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引用次数: 0

Abstract

This study addresses the rural postman problem with load-dependent costs, a variant of the arc routing problem where the traversal cost of an edge depends on its length and the vehicle’s load. The objective is to find a minimum-cost tour that services all required edges, a problem of particular importance when the demand weight is significant compared to the vehicle’s curb weight. We present an integer linear programming model for the problem and propose a heuristic algorithm based on bio-inspired methodologies to efficiently obtain near-optimal solutions within short computing times. The effectiveness of the approach is demonstrated through computational experiments on benchmark instances, and the results highlight the practicality of the proposed methods.
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来源期刊
Knowledge-Based Systems
Knowledge-Based Systems 工程技术-计算机:人工智能
CiteScore
14.80
自引率
12.50%
发文量
1245
审稿时长
7.8 months
期刊介绍: Knowledge-Based Systems, an international and interdisciplinary journal in artificial intelligence, publishes original, innovative, and creative research results in the field. It focuses on knowledge-based and other artificial intelligence techniques-based systems. The journal aims to support human prediction and decision-making through data science and computation techniques, provide a balanced coverage of theory and practical study, and encourage the development and implementation of knowledge-based intelligence models, methods, systems, and software tools. Applications in business, government, education, engineering, and healthcare are emphasized.
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