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Structural Reliability Based on Genetic Algorithm-Monte Carlo (GAMC)

Structural Reliability Based on Genetic Algorithm-Monte Carlo (GAMC) There are many different methods to solve the reliability problems. Although Genetic Algorithm (GA), as a heuristic method, and Monte Carlo (MC), as a simulation method, are robust methods but they also suffer from some shortcomings. GA in problems with many random variables and MC in problems with high reliability indices perform improperly. In this paper, a new method is proposed with combining GA and MC which is called GAMC. This method (GAMC) removes the drawbacks of GA and MC. In other words, GAMC can solve reliability problems with many random variables and high reliability indices. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Structural Engineering SAGE

Structural Reliability Based on Genetic Algorithm-Monte Carlo (GAMC)

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Publisher
SAGE
Copyright
© 2013 SAGE Publications
ISSN
1369-4332
eISSN
2048-4011
DOI
10.1260/1369-4332.16.2.419
Publisher site
See Article on Publisher Site

Abstract

There are many different methods to solve the reliability problems. Although Genetic Algorithm (GA), as a heuristic method, and Monte Carlo (MC), as a simulation method, are robust methods but they also suffer from some shortcomings. GA in problems with many random variables and MC in problems with high reliability indices perform improperly. In this paper, a new method is proposed with combining GA and MC which is called GAMC. This method (GAMC) removes the drawbacks of GA and MC. In other words, GAMC can solve reliability problems with many random variables and high reliability indices.

Journal

Advances in Structural Engineering – SAGE

Published: Feb 1, 2013

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