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TitleAssessment of different genetic algorithms for pavement management systems
Author(s)Moreira, André Vilaça
Oliveira, Joel
Costa, L.
Fwa, Tien F.
KeywordsPavement management system
Genetic algorithms
Multi-objective optimization
Constraint handling
Penalty function
Issue dateJul-2016
PublisherResearch Publishing
CitationMoreira A. V., Oliveira J. R. M., Costa L., Fwa T. F. Assessment of different genetic algorithms for pavement management systems, 8th International Conference on Maintenance and Rehabilitation of Pavements and Technological Control, doi:10.3850/978-981-11-0449-7-082-cd, 2016
Abstract(s)As road administrations keep seeking for innovative ways to improve the means to manage their road assets, the continuous progresses of Pavement Management Systems (PMSs) towards a consistent and effective utility play an important role. An optimization methodology to support decision making is a key aspect of any PMS. In this paper, two genetic algorithms based optimization approaches are addressed. One comprises a multi-objective solver which uses the non-dominated sorting genetic algorithm II (NSGA-II). The other consists in using a genetic algorithm to optimize a single-objective function that is obtained after combining together the multiple objectives through the augmented Tchebycheff method with infinite norm. Objective functions and constraints are related with the pavement quality over time and the total costs of maintenance and rehabilitation (M&R) strategies. For each algorithm, three different constraint handling methods are analysed and compared; (1) a posteriori implementation; (2) constraint function; (3) penalty function. The results showed that, regardless specific modifications to the default algorithmsâ options, the multi-objective solver with a posteriori constraints or with a penalty function are the approaches more likely to provide the best approximations to the optimal solutions.
TypeConference paper
AccessRestricted access (UMinho)
Appears in Collections:C-TAC - Comunicações a Conferências Internacionais

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