Integrated airport pavement management using a hybrid approach of Markov Chain and supervised multi-objective genetic algorithms-Reference-Cited by-同舟云学术

Integrated airport pavement management using a hybrid approach of Markov Chain and supervised multi-objective genetic algorithms

Published:2019-02-12 Issue:14 Volume:21 Page:1864-1873
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Ansarilari Zahra¹²,Golroo Amir¹

Affiliation:

1. Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

2. Civil and Environmental Engineering, University of Toronto, Toronto, Canada

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2019.1571208

Reference32 articles.

1. Deb, K. et al., 2000. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. International Conference on Parallel Problem Solving From Nature. Berlin: Springer, 849–858.

2. El Tahan, S. et al., 2016. Development of pavement maintenance management optimization model using markov chains and genetic algorithm for Egyptian Highway Network. Transportation Research Record, 95th Annual Meeting. Washington DC.

3. Franco, P. et al., 2014. Implementation of deflection bowl measurements for structural evaluations at network level of airport pavement management system. Proceedings of the 2014 FAA Worldwide Airport Technology Transfer Conference, Galloway, New Jersey.

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