Application of Simulated Annealing Algorithm in the Reliability Optimization of Redundant System 2004-01-3280
This work presents an application of the simulated annealing algorithm to redundant system reliability optimization, and its objective is to analyze this method and compare to other optimization methods, which are Genetic Algorithm, Evolution Strategy and Lagrange Multipliers. A hidrid optimization algorithm, composed by Simulated Annealing and Genetic Algorithm, is also developed in this work, to conciliate the advantages of both methods. The results presented by the Simulated Annealing and the hybrid algorithm are significant and validate these methods as robust tools for parameters optimization in engineering systems developments
Citation: Mori, B., de Castro, H., and Cavalca, K., "Application of Simulated Annealing Algorithm in the Reliability Optimization of Redundant System," SAE Technical Paper 2004-01-3280, 2004, https://doi.org/10.4271/2004-01-3280. Download Citation
Author(s):
Bruno Dalanezi Mori, Hélio Fiori de Castro, Katia Lucchesi Cavalca
Affiliated:
UNICAMP
Pages: 10
Event:
2004 SAE Brasil Congress and Exhibit
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Mathematical models
Optimization
Heat treatment
Technical review
Reliability
SAE MOBILUS
Subscribers can view annotate, and download all of SAE's content.
Learn More »
