@inproceedings{d09456bd4d4346f9a5871f393e6d06cc,
title = "A new approach to programming maintenance activities for concrete bridge decks",
abstract = "This paper presents an approach to programming maintenance alternatives for a network of concrete bridge decks using genetic algorithms and Markovian performance prediction models. Genetic algorithms are robust and stochastic optimization techniques that overcome the mathematical complications and combinatorial explosion problems of the conventional optimization techniques. Markovian models are the state-of-the art stochastic models used in several maintenance management systems to predict the future condition for a network of infrastructure facilities. An illustrative example for finding the optimal maintenance alternatives of concrete bridge decks using field data is presented to demonstrate the fesability and capability of the proposed approach.",
author = "G. Morcous and Z. Lounis",
year = "2003",
language = "English (US)",
isbn = "1894662040",
series = "Proceedings, Annual Conference - Canadian Society for Civil Engineering",
pages = "2043--2046",
booktitle = "CSCE 31st Annual Conf. Proceedings",
note = "Canadian Society for Civil Engineering - 31st Annual Conference: 2003 Building our Civilization ; Conference date: 04-06-2003 Through 07-06-2003",
}