Multiobjective Optimization for Pavement Maintenance Programming
Publication: Journal of Transportation Engineering
Volume 126, Issue 5
Abstract
Pavement maintenance planning and programming requires optimization analysis involving multiobjective considerations. Traditionally single-objective optimization techniques have been employed by pavement researchers and practitioners because of the complexity involved in multiobjective analysis. This paper develops a genetic-algorithm-based procedure for solving multiobjective network level pavement maintenance programming problems. The concepts of Pareto optimal solution set and rank-based fitness evaluation, and two methods of selecting an optimal solution, were adopted. It was found that the robust search characteristics and multiple-solution handling capability of genetic-algorithms were well suited for multiobjective optimization analysis. Formulation and development of the solution algorithm were described and demonstrated with a numerical example problem in which a hypothetical network level pavement maintenance programming analysis was performed for two- and three-objective optimization, respectively. A comparison between the two- and three-objective solutions was made to highlight some practical considerations in applying multiobjective optimization to pavement maintenance management.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Feighan, K. J., Shahin, M. Y., and Sinha, K. C. (1987). “A dynamic programming approach to optimization for pavement management systems.” Proc., 2nd North Am. Conf. on Managing Pavement, Ontario Ministry of Transportation and Communications, and U.S. Federal Highway Administration, 2.195–2.206.
2.
Fonseca, C. M., and Fleming, P. J. (1995). “Genetic algorithms for multi-objective optimization: Formulation, discussion and generalization.” Evolutionary Computation, 3(1), 1–16.
3.
Fwa, T. F., Tan, C. Y., and Chan, W. T. (1994a). “Road-maintenance planning using genetic algorithms. II: Analysis.”J. Transp. Engrg., ASCE, 120(5), 710–722.
4.
Fwa, T. F., Chan, W. T., and Tan, C. Y. (1994b). “Optimal programming by genetic algorithms for pavement management.” Transp. Res. Rec. 1455, Transportation Research Board, Washington, D.C., 31–41.
5.
Fwa, T. F., Chan, W. T., and Tan, C. Y. (1996). “Genetic-algorithm programming of road maintenance and rehabilitation.”J. Transp. Engrg., ASCE, 122(3), 246–253.
6.
Fwa, T. F., Sinha, K. C., and Riverson, J. D. N. (1988). “Highway routine maintenance programming at network level.”J. Transp. Engrg., ASCE, 114(5), 539–554.
7.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning, Addison-Wesley, Reading, Mass.
8.
Holland, J. H. (1975). Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, Mich.
9.
Horn, J., Nafpliotis, N., and Goldberg, D. E. (1994). “Multi-objective optimization using the niched Pareto genetic algorithms.” Proc., 1st IEEE Conf. on Evolutionary Computation, Vol. 1, 82–87.
10.
Li, N., Xie, W., and Haas, R. (1995). “A new application of Markov Modeling and dynamic programming in pavement management.” Proc., 2nd Int. Conf. on Road and Airfield Pavement Technol., Vol. 2, Pavement Engineering Society, Singapore, 683–691.
11.
Lytton, R. L. (1985). “From ranking to true optimization.” Proc., North Am. Pavement Mgmt. Conf., Ontario Ministry of Transportation and Communications, and U.S. Federal Highway Administration, 5.3–5.18.
12.
Markow, M. J., Brademeyer, B. D., Sherwood, J., and Kenis, W. J. (1987). “The economic optimization of pavement maintenance and rehabilitation.” Proc., 2nd North Am. Conf. on Managing Pavement, Ontario Ministry of Transportation and Communications, and U.S. Federal Highway Administration, 2.169–2.182.
13.
Organization for Economic Cooperation and Development (OECD). (1987). Pavement management systems, Paris.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 126 • Issue 5 • September 2000
Pages: 367 - 374
History
Received: Dec 1, 1998
Published online: Sep 1, 2000
Published in print: Sep 2000
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.