A guided genetic algorithm for solving the long-term car pooling problem

Yuhan Guo, G. Goncalves, T. Hsu
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引用次数: 8

Abstract

Rising vehicle numbers and increased use of private cars have caused significant traffic congestion, noise and energy waste. Public transport cannot always be set up in the non-urban areas. Car pooling, which is based on the idea that sets of car owners having the same travel destination share their vehicles has emerged to be a viable possibility for reducing private car usage around the world. In this paper, we present a guided genetic algorithm (GGA) for long-term car pooling problem. Computational results are given to show that this approach is competitive with some of the most powerful heuristics.
一种解决长期拼车问题的引导遗传算法
车辆数量的增加和私家车使用量的增加造成了严重的交通拥堵、噪音和能源浪费。在非城市地区不可能总是建立公共交通。拼车是一种可行的方法,可以减少世界各地私家车的使用。拼车的理念是,有相同旅行目的地的车主共享他们的车辆。本文提出了一种针对长期拼车问题的引导遗传算法(GGA)。计算结果表明,这种方法是竞争的一些最强大的启发式。
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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