Please use this identifier to cite or link to this item:
|Title:||Multiobjective optimization for pavement maintenance programming|
|Authors:||Fwa, T.F. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 11, 2018
WEB OF SCIENCETM
checked on Sep 26, 2018
checked on Oct 13, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.