Dynamic Route Guidance Using Improved Genetic Algorithms

Zhanke Yu, Mingfang Ni, Zeyan Wang, Yanhua Zhang · Mathematical Problems in Engineering · 2013

This paper presents an improved genetic algorithm (IGA) for dynamic route guidance algorithm. The proposed IGA design a vicinity crossover technique and a greedy backward mutation technique to increase the population diversity and strengthen local search ability. The steady-state reproduction is introduced to protect the optimized genetic individuals. Furthermore the junction delay is introduced to the fitness function. The simulation results show the effectiveness of the proposed algorithm.

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