Estimation of Stress Strength Reliability for Three-Parameter Weibull Distribution Using Jaya Algorithm

Jaya algorithm is a highly effective recent metaheuristic technique. In this article, a study is carried out on estimating reliability considering the stress and strength following Weibull distribution with same shape & location parameter but different scale parameter. The novelty of this study lies in using and analyzing the effectiveness of Jaya algorithm in estimation of reliability via maximum likelihood estimation. The simulation studies are carried out with different sample sizes to validate the proposed methodology. The technique is also applied to real life data to show its implementation and the results are compared with the other methods in the literature. The proposed methodology is simple and gives precise results. The inclusion of location parameter in the study significantly impacts the estimated reliability.

Authors

Institutions

Publication Details

Journal
International Journal of Mathematical Engineering and Management Sciences
Published
2025-06-13
DOI
https://doi.org/10.33889/ijmems.2025.10.5.058
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of Stress Strength Reliability for Three-Parameter Weibull Distribution Using Jaya Algorithm

Saurabh L. Raikar, Rajesh S. Prabhu Gaonkar
International Journal of Mathematical Engineering and Management Sciences
Probabilistic and Robust Engineering Design
article

Estimation of Stress Strength Reliability for Three-Parameter Weibull Distribution Using Jaya Algorithm

Saurabh L. Raikar, Rajesh S. Prabhu Gaonkar
article en

Abstract

Jaya algorithm is a highly effective recent metaheuristic technique. In this article, a study is carried out on estimating reliability considering the stress and strength following Weibull distribution with same shape & location parameter but different scale parameter. The novelty of this study lies in using and analyzing the effectiveness of Jaya algorithm in estimation of reliability via maximum likelihood estimation. The simulation studies are carried out with different sample sizes to validate the proposed methodology. The technique is also applied to real life data to show its implementation and the results are compared with the other methods in the literature. The proposed methodology is simple and gives precise results. The inclusion of location parameter in the study significantly impacts the estimated reliability.

International Journal of Mathematical Engineering and Management SciencesVol. 10(5)
Goa University (IN), Indian Institute of Technology Goa (IN)
Openalex Percentile: Top 87%
Probabilistic and Robust Engineering Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.