DocumentCode :
2539725
Title :
Application of Interactive Multiobjective Genetic Algorithm in Maintenance Optimization of Bridge Decks
Author :
Bian, Jingmei ; Bai, Quan
Author_Institution :
Sch. of Economic & Manage., Shenyang Univ. of Chem. Technol., Shenyang, China
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
317
Lastpage :
320
Abstract :
In order to determine the optimal set of maintenance strategies for a network of bridges with concrete decks, a maintenance strategy optimization method using interactive genetic algorithm is presented in this paper. Evolution is leaded into optimal comprehensive performance of multiple objects by way of inputting inaccurate preference information and fitness Sharing technique is introduced to improve the diversity of populations. Ultimately, the set of solutions satisfying different preferences can be obtained. Thus, selecting difficulty of optimal maintenance strategy can be greatly reduced. Data obtained from bridge inspection report of 2005 of Liaoning province are used to demonstrate the feasibility and capability of the proposed approach.
Keywords :
bridges (structures); genetic algorithms; maintenance engineering; structural engineering; bridge decks; fitness sharing technique; interactive multiobjective genetic algorithm; maintenance strategy optimization method; Bridges; Concrete; Encoding; Genetics; Joints; Maintenance engineering; Optimization; bridge engineering; concrete bridge deck; inaccurate preference information; interactive genetic algorithm; multiobjective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
Type :
conf
DOI :
10.1109/ICGEC.2010.85
Filename :
5715433
Link To Document :
بازگشت