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A platform for research: civil engineering, architecture and urbanism
A Specific Genetic Algorithm for Optimum Path Planning in Intelligent Transportation System
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.
A Specific Genetic Algorithm for Optimum Path Planning in Intelligent Transportation System
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.
A Specific Genetic Algorithm for Optimum Path Planning in Intelligent Transportation System
Li, Qing (author) / Liu, Guangjun (author) / Zhang, Wei (author) / Zhao, Cailu (author) / Yin, Yixin (author) / Wang, Zhiliang (author)
2006-06-01
4275743 byte
Conference paper
Electronic Resource
English
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