TY - JOUR
T1 - A Genetic Algorithm Approach for Reliability of Bridge Network in Fuzzy System
AU - G.S. Mahapatra and P. Roy
JO - Journal of Information and Computing Science
VL - 4
SP - 243
EP - 254
PY - 2024
DA - 2024/01
SN - 6
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22665.html
KW - Genetic algorithm, Reliability optimization, Penalty method, Bridge network, Fuzzy number 

AB -  This  paper  presents  a  Genetic  Algorithm  (GA)  approach  for  solving  constrained  reliability 
optimization  problem  of  the  five  unit  bridge  network.  Considering  uncertainty  for  cost,  the  reliability 
optimization  problem  has  been  solved  by  GA  technique  to  maximize  system  reliability.  GA  is  an  efficient 
method for solving this type of optimization problems. This paper successfully applies the GA technique to 
obtain  the  optimal  solution  of  the  complex  system  reliability  model  under  cost  constraint  in  fuzzy 
environment in which the system cost and component costs might be imprecise. Triangular fuzzy number is 
used  to  represent  the  fuzzy  cost  coefficients.  Static  penalty  method  has  been  used  to  handle  the  cost 
constraint  of  the  problem.  To  solve  the  reliability  optimization  model,  we  have  developed  the  GA  using 
MATLAB with tournament selection process, elitism mechanism, arithmetic crossover and uniform mutation 
operations.  Finally,  computational  results  are  presented  for  the  reliability  of  bridge  network  in  crisp  and 
fuzzy environment.