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A Specific Genetic Algorithm for Optimum Path Planning in Intelligent Transportation System

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6 Author(s)
Qing Li ; Sch. of Inf. Eng., Beijing Univ. of Sci. & Technol. ; Guangjun Liu ; Wei Zhang ; Cailu Zhao
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A specific genetic algorithm is proposed in this paper for optimum path planning. Operations such as encoding, crossover and mutation are tailored to fit optimum path planning. Simulation results show that the specific genetic algorithm has advantages such as rapid calculation speed and high probability of optimal solution. It is a new approach for solving shortest path problems in practical GIS and ITS

Published in:

ITS Telecommunications Proceedings, 2006 6th International Conference on

Date of Conference:

June 2006