Villanueva, Fabiola R.de Oliveira, Valeriano A. [UNESP]Costa, Tiago M.2023-03-012023-03-012022-01-01Fuzzy Sets and Systems.0165-0114http://hdl.handle.net/11449/241338This work addresses constrained optimization problems in which the objective function is interval-valued while the inequality constraints functions are real-valued. Both necessary and sufficient optimality conditions are derived. They are given through the gH-gradient and the gH-directional derivative of the interval objective function. The necessary ones are of KKT-type. The sufficient conditions are of generalized convexity type. The developed theory is illustrated by means of some numerical examples.engGeneralized convexityInterval optimizationKarush-Kuhn-Tucker-type conditionsNecessary optimality conditionsSufficient optimality conditionsArtigo10.1016/j.fss.2022.06.0202-s2.0-85134180404