شماره ركورد كنفرانس :
4035
عنوان مقاله :
A QUASI-NEWTON METHOD FOR FUZZY MULTIOBJECTIVE OPTIMIZATION PROBLEMS
پديدآورندگان :
GHAZNAVI MEHRDAD Ghaznavi@shahroodut.ac.ir Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran , HOSEINPOOR NARGES ha.majd32@yahoo.com Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran
كليدواژه :
Fuzzy multiobjective problem , Quasi , Newton method , Pareto optimal solution , Critical point
عنوان كنفرانس :
اولين دوره همايش بين المللي رياضيات فازي
چكيده فارسي :
In this paper, unconstraint multiobjective optimization
problems (MOPs) with fuzzy functions are considered. We
propose a quasi-Newton algorithm to find weak Pareto optimal
solutions of a fuzzy multiobjective problem. We use the generalized
Hukuhara differentiability of fuzzy vector functions and fuzzy
max-order relation on the set of fuzzy vectors.
