Expressway Maintenance Decision Model Based on Immune Genetic Algorithm

Special Issues Editor (Nottingham Tent University, United Kingdom (Great Britain))

Expressway maintenance is a specific and complex systems engineering. In expressway maintenance decision-making process, it is difficult to assess complex effect caused by environment changes. Moreover, different policy makers have some certain preferences so that the traditional dynamic programming algorithm is greatly limited. To solve these problems, immune genetic algorithm with diversity control is designed for multi-objective optimization of expressway maintenance. The algorithm has some unique features such as control of concentration, control of affinity, and genetic mechanisms, which will improve expressway maintenance dynamic decision. From simulation on expressway maintenance work, the integration of expressway maintenance objectives and the application of immune genetic algorithm are proven effective.

Journal: International Journal of Simulation: Systems, Science & Technology, IJSSST V17

Published: Jul 14, 2016

DOI: 10.5013/IJSSST.a.17.26.22