Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)0733-947X(2000)126:5(367)
Title: Multiobjective optimization for pavement maintenance programming
Authors: Fwa, T.F. 
Chan, W.T. 
Hoque, K.Z.
Issue Date: Sep-2000
Source: Fwa, T.F., Chan, W.T., Hoque, K.Z. (2000-09). Multiobjective optimization for pavement maintenance programming. Journal of Transportation Engineering 126 (5) : 367-374. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-947X(2000)126:5(367)
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.
Source Title: Journal of Transportation Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/65848
ISSN: 0733947X
DOI: 10.1061/(ASCE)0733-947X(2000)126:5(367)
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