Reliability Optimization of Complex Systems through C-SOMGA
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@Article{JICS-4-163,
author = {Kusum Deep and Dipti},
title = {Reliability Optimization of Complex Systems through C-SOMGA},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {3},
pages = {163--172},
abstract = { In this paper, three problems from the field of reliability engineering are considered. The first
problem is a nonlinear constraint optimization problem. The problem is to determine the minimum cost of a
life support system in a space capsule subject to the constraints on reliability of the system. The objective is
to find the minimum cost of the system as well as maximum reliability. The second problem is to determine
the minimum cost of a complex bridge network system with constraints on system reliability. The objective
is to minimize the cost and maximize reliability at the same time. The third problem is a discrete optimization
problem. This problem is to determine the optimal number of redundancies in a multistage mixed system so
that the reliability of the system can be maximized. Three cases of this problem are considered. All the
problems are solved using Self Organizing Migrating Genetic Algorithm (C-SOMGA) which is a recently
published algorithm for obtaining the global optimal solution of constrained optimization problems. C-
SOMGA is a hybridized genetic algorithm inspired by the features of Self Organizing Migrating Algorithm
(SOMA) as well as Simple binary GA. The results obtained by C-SOMGA are compared with the existing
published results in order to exhibit the roboutness of C-SOMGA for solving reliability engineering problems.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22742.html}
}
TY - JOUR
T1 - Reliability Optimization of Complex Systems through C-SOMGA
AU - Kusum Deep and Dipti
JO - Journal of Information and Computing Science
VL - 3
SP - 163
EP - 172
PY - 2024
DA - 2024/01
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22742.html
KW - Genetic algorithms, Self Organizing Migrating Algorithm, Self Organizing Migrating Genetic
algorithm, Reliability Optimization.
AB - In this paper, three problems from the field of reliability engineering are considered. The first
problem is a nonlinear constraint optimization problem. The problem is to determine the minimum cost of a
life support system in a space capsule subject to the constraints on reliability of the system. The objective is
to find the minimum cost of the system as well as maximum reliability. The second problem is to determine
the minimum cost of a complex bridge network system with constraints on system reliability. The objective
is to minimize the cost and maximize reliability at the same time. The third problem is a discrete optimization
problem. This problem is to determine the optimal number of redundancies in a multistage mixed system so
that the reliability of the system can be maximized. Three cases of this problem are considered. All the
problems are solved using Self Organizing Migrating Genetic Algorithm (C-SOMGA) which is a recently
published algorithm for obtaining the global optimal solution of constrained optimization problems. C-
SOMGA is a hybridized genetic algorithm inspired by the features of Self Organizing Migrating Algorithm
(SOMA) as well as Simple binary GA. The results obtained by C-SOMGA are compared with the existing
published results in order to exhibit the roboutness of C-SOMGA for solving reliability engineering problems.
Kusum Deep and Dipti. (2024). Reliability Optimization of Complex Systems through C-SOMGA.
Journal of Information and Computing Science. 4 (3).
163-172.
doi:
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