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Comparison of Two Evolutionary Algorithms for Optimization of Bridge Deck Repairs
Author(s) -
Elbehairy Hatem,
Elbeltagi Emad,
Hegazy Tarek,
Soudki Khaled
Publication year - 2006
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2006.00458.x
Subject(s) - bridge (graph theory) , computer science , genetic algorithm , prioritization , selection (genetic algorithm) , deck , operations research , evolutionary algorithm , optimization problem , bridge maintenance , mathematical optimization , reliability engineering , engineering , artificial intelligence , management science , machine learning , algorithm , structural engineering , mathematics , medicine
Abstract: Prioritization of bridge decks for maintenance and repair purposes involves decisions related to project‐level repair strategies as well as network‐level selection of bridges that bring the highest return on the repair budget. These decisions, however, represent complex optimization problems that traditional optimization techniques are often unable to solve. This article introduces an integrated model for bridge deck repairs with detailed life cycle costs of network‐level and project‐level decisions. Two evolutionary‐based optimization techniques that are capable of handling large‐size problems, namely Genetic Algorithms and Shuffled Frog Leaping, are then applied on the model to optimize maintenance and repair decisions. Results of both techniques are compared on case study problems with different numbers of bridges. Based on the results, the benefits of the bridge deck management system are illustrated along with various strategies to improve optimization performance.