Raising fairness issue of vehicle routing problem

S. Azad, L. Badia, Arafatur Rahman, Jasni Mohamad Zain
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Abstract

Since fairness deals with the quality of distributing the jobs and creates an ambience that is free from any discrimination, any distribution management problem must take fairness issue into consideration. Again, since the Vehicle Routing Problem (VRP) is also a distribution management problem, any VRP solving algorithm must consider the fairness when solutions are explored. However, most of the proposed VRP solving algorithms do not take this issue into consideration. In this paper, we raise this issue with sufficient evidences. In this course of action, following contributions are made in this paper: i) fairness issue is raised analytically, and to support this, an extensive simulation campaign is performed, ii) the VRP is discussed through a practical application, namely Garbage Collection Problem (GCP), and later it is mathematically formulated, iii) a Genetic Algorithm (GA) is employed to explore feasible solutions for the given application (i.e., GCP), and iv) some future research directives are noted, which will help the researchers to extend this work.
提出车辆路线问题的公平性问题
因为公平涉及到工作分配的质量,创造没有任何歧视的氛围,所以任何分配管理问题都必须考虑到公平问题。再次,由于车辆路径问题(VRP)也是一个分配管理问题,任何求解VRP的算法在探索解决方案时都必须考虑公平性。然而,目前提出的大多数VRP求解算法都没有考虑到这个问题。在本文中,我们以充分的证据提出了这一问题。在这一行动过程中,本文作出了以下贡献:i)分析地提出了公平性问题,并为此进行了广泛的模拟活动,ii)通过实际应用(即垃圾收集问题(GCP))讨论了VRP,随后对其进行了数学公式化,iii)采用遗传算法(GA)来探索给定应用(即GCP)的可行解决方案,以及iv)指出了一些未来的研究方向,这将有助于研究人员扩展这项工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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