Dynamic Route Guidance Using Improved Genetic Algorithms

Zhanke Yu, Mingfang Ni, Zeyan Wang and Yanhua Zhang

Mathematical Problems in Engineering, 2013, vol. 2013, 1-6

Abstract:

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:765135

DOI: 10.1155/2013/765135

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