Title of article :
Solving a non-linear optimization problem in the presence of Yager-FRE constraints
Author/Authors :
Ghodousian, Amin Department of Engineering Science - College of Engineering - University of Tehran , Javan, Abolfazl Department of Algorithms and Computation - University of Tehran , Khoshnood, Asieh Department of Algorithms and Computation - University of Tehran
Abstract :
Yager family of t-norms is a parametric family of continuous
nilpotent t-norms which is also one of the most
frequently applied one. This family of t-norms is strictly
increasing in its parameter and covers the whole spectrum
of t-norms when the parameter is changed from
zero to infinity. In this paper, we study a nonlinear optimization
problem where the feasible region is formed as
a system of fuzzy relational equations (FRE) dened by
the Yager t-norm. We rstly investigate the resolution
of the feasible region when it is denfied with max-Yager
composition and present some necessary and sucient
conditions for determining the feasibility and some.
Keywords :
Fuzzy relational equations , nonlinear optimiza- tion , genetic algorithm
Journal title :
Astroparticle Physics