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首页> 外文期刊>Promet-traffic & transportation >BUS TIMETABLING AS A FUZZY MULTIOBJECTIVE OPTIMIZATION PROBLEM USING PREFERENCE-BASED GENETIC ALGORITHM
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BUS TIMETABLING AS A FUZZY MULTIOBJECTIVE OPTIMIZATION PROBLEM USING PREFERENCE-BASED GENETIC ALGORITHM

机译：基于偏好的遗传算法作为模糊多目标优化问题的公交时刻表

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摘要

Transportation plays a vital role in the development of a country and the car is the most commonly used means. However, in third world countries long waiting time for public buses is a common problem, especially when people need to switch buses. The problem becomes critical when one considers buses joining different villages and cities. Theoretically this problem can be solved by assigning more buses on the route, which is not possible due to economical problem. Another option is to schedule the buses so that customers who want to switch buses at junction cities need not have to wait long. This paper discusses how to model single frequency routes bus timetabling as a fuzzy multiobjective optimization problem and how to solve it using preference-based genetic algorithm by assigning appropriate fuzzy preference to the need of the customers. The idea will be elaborated with an example.
机译：交通在一个国家的发展中起着至关重要的作用，汽车是最常用的手段。但是，在第三世界国家，公共巴士的漫长等待时间是一个普遍问题，尤其是当人们需要换乘公交车时。当人们考虑将公共汽车连接到不同的村庄和城市时，这个问题就变得至关重要。从理论上讲，可以通过在路线上分配更多公交车来解决此问题，由于经济问题，这是不可能的。另一种选择是安排公交车的时间，以便希望在枢纽城市换乘公交车的客户不必等待很长时间。本文讨论了如何将单条路线的公交线路时间表建模为模糊的多目标优化问题，以及如何通过基于偏好的遗传算法为客户的需求分配适当的模糊偏好来解决该问题。将通过示例详细说明该想法。

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