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.