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Apr 26, 2012

Sensitivity Analysis of Genetic Algorithm Based Network Optimization System with Multiple Objectives

Publication: International Conference on Transportation Engineering 2007

Abstract

The implementation of Genetic Algorithm (GA) based Network Optimization System (NOS) provides a state-of-practice optimization tool for the preservation and rehabilitation of pavements, based on application of intelligent computation and the classic NOS. To have more understanding of the influence of input parameters on results of GA based NOS, a sensitivity analysis is undertaken in the paper. A total of four inputs (period length, current conditions, standard condition and action unit cost) are evaluated by studying the effect of each input on three output measures (total cost, total performance rating and objective value) resulting in 13 simulations.

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Go to International Conference on Transportation Engineering 2007
International Conference on Transportation Engineering 2007
Pages: 461 - 466

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Published online: Apr 26, 2012

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Vu Nguyen
Department of Civil Engineering, 4190 Bell Engineering, University of Arkansas, Fayetteville, AR 72701
Department of Civil Engineering, 4190 Bell Engineering, University of Arkansas, Fayetteville, AR 72701. E-mail: [email protected] and Southwest Jiaotong University, Chengdu, China
John P. Zaniewski
West Virginia University, Morgantown, WV 26506

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