Optimization of System Reliability by Sequential Weight Increasing Factor Technique
IEEE Transactions on ReliabilityPublished 1 December 1977
B. V. Sheela
Citations5
SJR quartileQ1
SJR score1.26
SNIP1.97
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
In this paper the problem of maximizing the reliability of a complex system by choosing the reliability of its components is solved using the new constrained optimization technique, SWIFT. Lower and upper bounds on the individual components are incorporated into the algorithm by means of suitable variable transformations. This algorithm, when tested on a numerical example, found a higher system reliability in a lesser number of function evaluations than SUMT.
Keywords
Decision SciencesMathematicsEngineering
The Computer JournalA Simplex Method for Function Minimization
28,856 Citations1965J. A. Nelder, R. Mead
A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n 41) vertices of a general simplex, followed by the replacement of the vertex with the highest value by another point.
IEEE Transactions on ReliabilityOptimal Reliability of a Complex System
53 Citations1970Frank A. Tillman, Ching-Lai Hwang +2 more
Two life support systems, one is the communication system of a two-man space capsule and another is a high-pressure oxygen supply system in a space capsule, have been identified to have the complex system configuration treated in this work.
IEEE Transactions on ReliabilityOptimization of System Reliability by the Sequential Unconstrained Minimization Technique
31 Citations1975C. L. Hwang, Kexing Lai +2 more
The reliability of a complex system was optimized by a new approach for implementing the sequential unconstrained minimization technique (SUMT) with the aid of Hooke and Jeeves pattern search and heuristic programming.
Computer Methods in Applied Mechanics and EngineeringSwift — a new constrained optimization technique
17 Citations1975B. V. Sheela, P Ramamoorthy
A new technique for constrained optimization called SWIFT (Sequential Weight Increasing Factor Technique) is presented and compared with some test problems available in the literature and significantly differs from existing constrained optimization techniques.
