A hybrid approach based on Multi-Objective Simulated Annealing and Tabu Search to solve the Dynamic dial a Ride Problem

Lazhar Khelifi, I. Zidi, K. Zidi, K. Ghédira
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引用次数: 10

Abstract

This paper describes an application of a Hybrid Algorithm based on the Multi-Objective Simulated AnnealingTabu Search (MOSA-TS) to solve the dynamic Dial a Ride Problem (DRP). In fact, different versions of the dynamic Dial k Ride Problem are found in every day practice; transportation of people in low-density areas, transportation of the handicapped and elderly persons and parcel pick-up and delivery service in urban areas. The problem is to affect every new passenger request to one of the vehicles and to design a new route and schedule for this vehicle. This affectation must be done in real time. In this work, we offer our contribution to the study and to solve the dynamic DRP in the application using a multi agent system based on Hybrid Algorithm: Multi-Objective Simulated Annealing -Tabu Search (MOSA-TS).
一种基于多目标模拟退火和禁忌搜索的混合方法求解动态调乘问题
本文介绍了一种基于多目标模拟退火禁忌搜索(MOSA-TS)的混合算法在动态调乘问题(DRP)中的应用。事实上,不同版本的动态Dial k Ride问题是发现在每天的实践;人口密度低地区的交通运输、残疾人、老年人的交通运输和城市地区的包裹收发服务。问题是如何影响每一个新乘客对一辆车的要求,并为这辆车设计新的路线和时间表。这种伪装必须实时完成。在这项工作中,我们提供了我们的研究贡献,并使用基于混合算法的多智能体系统:多目标模拟退火-禁忌搜索(MOSA-TS)来解决应用中的动态DRP。
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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