Optimal path in Dynamic and Stochastic Networks

被引：0

作者：

Berradia, Tahar ^{[1
]}

Mouzna, Joseph ^{[1
]}

机构：

[1] IRSEEM ESIGELEC, St Etienne, France

来源：

2009 12TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC 2009) | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In transportation, the path finding problem is usually defined as the Shortest Path (SP) problem in deterministic terms (distance, deterministic cost,etc.). However, in real life situation, many information are uncertainty (travel time, travel cost or combination of criteria). In this paper we present a formulation for the multi-objective paths problem in dynamic and stochastic networks. In order to solve this problem a procedure integrating stochastic simulation and genetic algorithm proposed by Chen in [15] is applied and some numerical examples are given to validate our idea.

引用

页码：697 / 702

页数：6

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