Paper Title:
Complex Maintenance of Aircraft Engine Structural Components Using Genetic Algorithm and Multi-Objective Optimization
  Abstract

The GA and multi-objective optimization approach is flexible in application and extremely reliable, providing optimal results for all optimization problems attempted. Aircraft engine maintenance using nonlinear analyses. This considerably slows the entire production and maintenance process. There are three approaches for this purpose. GA with a gradient-based method to improve quality enhancements and moderate convergence efficiency; the multi-objective framework will integrate the analysis codes for multiple disciplines, instead of relying on one code to perform the analysis for all disciplines; using optimize a multi-objective model by implementation of GA instead the computationally expensive functions. Results indicate that is to provide a capability to yield a better production and maintenance in much reduced time and cost.

  Info
Periodical
Edited by
Ran Chen
Pages
2988-2992
DOI
10.4028/www.scientific.net/AMM.44-47.2988
Citation
J. Cai, Y. Li, J. F. Yu, H. Tao, "Complex Maintenance of Aircraft Engine Structural Components Using Genetic Algorithm and Multi-Objective Optimization", Applied Mechanics and Materials, Vols. 44-47, pp. 2988-2992, 2011
Online since
December 2010
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