Affiliation:
1. GD Goenka University, Gurugram, India
Abstract
Redundancy-allocation problem i.e. RAP is among the reliability optimization problems which make use of non-linear programming method to improve
the reliability of complex system. The objective of this research paper is
reliability optimization through the application of Genetic Algorithm i.e.
GA and Hybrid Genetic & Particle Swarm Optimization (H-GAPSO) on a RAP.
Certain shortcomings have been seen when results are obtained by application
of single algorithms. In order to get rid of these shortcomings, HGA-PSO is
introduced where attractive properties of GA and PSO are combined. This
hybrid method makes use of iterative process of GA after obtaining initial
best population from PSO. Comparative Analysis of results of GA and H-GAPSO
is done with respect to reliability and computation (CPU) time and it is
observed that H-GAPSO improved system reliability up to maximum by 63.10%.
MATLprogramming has been used for computation of results from GA and
HGA-PSO algorithms.
Publisher
National Library of Serbia
Subject
Management Science and Operations Research
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