STRUCTURAL RELIABILITY ASSESSMENT UTILIZING FOUR METAHEURISTIC ALGORITHMS

The failure probability of the structures is one of the challenging problems in structural engineering. To obtain the reliability index introduced by Hasofer and Lind, one needs to solve a nonlinear equality constrained optimization problem. In this study, four of the most recent metaheuristic algorithms are utilized for finding the design point and the failure probability of problems with continuous random variables. These algorithms consist of Improved Ray Optimization, Democratic Particle Swarm Optimization, Colliding Bodies Optimization, and Enhanced Colliding Bodies Optimization. The performance of these algorithms is tested on nineteen engineering optimization problems.