Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm

作者：

Highlights：

• We propose a multi-objective path finding model.

• We consider the stochastic and time-varying nature of travel time in our model.

• The model is solved by the non-dominated sorting genetic algorithm.

• The Taguchi method is used to tune the parameters of the genetic algorithm.

摘要

•We propose a multi-objective path finding model.•We consider the stochastic and time-varying nature of travel time in our model.•The model is solved by the non-dominated sorting genetic algorithm.•The Taguchi method is used to tune the parameters of the genetic algorithm.

论文关键词：Multi-objective optimization,Travel time reliability,Stochastic and time-dependent networks,Taguchi method

论文评审过程：Available online 28 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.046