Sentence examples for solving reliability from inspiring English sources
The comparisons prove that NSC-PSO is a competitive optimization method for solving reliability optimization problems.
Subset Simulation has been developed for solving reliability problems involving complex systems and it is found to be robust to the number of uncertain parameters.
Prognostics and systems health management (PHM) is an enabling discipline of technologies and methods with the potential of solving reliability problems that have been manifested due to complexities in design, manufacturing, environmental and operational use conditions, and maintenance.
Experimental results show that the proposed algorithm has stronger convergence and stability than the other four particle swarm optimization algorithms on solving reliability problems, and that the solutions obtained by the IPSO are better than the previously reported best-known solutions in the recent literature.
The paper is investigating the suitability of the No Speeds and Coefficients Particle Swarm Optimization (NSC-PSO) method for solving reliability optimization problems by approaching a set of test problems comprising two known Redundancy Allocation Problem (RAP) case studies, one Fault Tree Optimization (FTO) case study and one Event Tree Optimization (ETO) case study.
This contribution presents an approach for solving reliability-based optimization problems involving structural systems under stochastic loading.
Recently, a Sequential Optimization and Reliability Assessment (SORA) method was proposed and proven to be effective for solving reliability-based design optimization (RBDO) problems.
In this paper the feasibility of using a particular feasible direction interior point algorithm for solving reliability-based optimization problems of high dimensional stochastic dynamical systems is investigated.
The method is especially suitable to be implemented in gradient-based routines for solving reliability-based design optimization problems where accuracy of the parameter sensitivity is essential for convergence to an optimal solution.
Our methods are designed to solve reliability questions resulting from manufacturability.
An improved particle swarm optimization (IPSO) algorithm is proposed to solve reliability problems in this paper.
