RT - Journal Article
T1 - On the hybrid conjugate gradient method for solving fuzzy optimization problem
JF - IJAORLU
YR - 2019
JO - IJAORLU
VO - 9
IS - 1
UR - http://ijorlu.liau.ac.ir/article-1-590-en.html
SP - 47
EP - 52
K1 - Fuzzy constrained Optimization
K1 - Hybrid Conjugate Gradient Algorithm
K1 - constrained Optimization Problem
K1 - Steepest Descent Algorithm
K1 - Generalized Hukuhara differentiability
AB - In this paper we consider a constrained optimization problem where the objectives are fuzzy functions (fuzzy-valued functions). Fuzzy constrained Optimization (FO) problem plays an important role in many fields, including mathematics, engineering, statistics and so on. In the other side, in the real situations, it is important to know how may obtain its numerical solution of a given interesting problem. In this paper we defined Necessary and sufficient optimality conditions for constrained fuzzy optimization problem and a Hybrid Conjugate Gradient (HCG) algorithm was proposed for solving FOP. The parametric form of the function was translated into an equivalent Fuzzy constrained Optimization (FO) problem. Then, HCG algorithm was applied to solve the corresponding optimization problem.
LA eng
UL http://ijorlu.liau.ac.ir/article-1-590-en.html
M3
ER -