Abstract:In this work vector continuous-time programming problem with inequality
constraints is considered. The necessary and sufficient optimality conditions
under generalized concavity assumptions are established. The results were
formulated using differentiability.
“…More recently, Jović [4] presented necessary and sufficient optimality conditions under generalized concavity (quasiconcavity and pseudoconcavity) for vector continuous-time programming using the Mangasarian-Fromovitz constraint qualification given by Monte and de Oliveira [7]. In [5], Jović and Marinković derived zero order optimality conditions under convexity assumptions.…”
The paper addresses multi-objective continuous-time nonlinear programming problems with equality and inequality constraints. It is obtained first and second-order necessary optimality conditions through a constant rank-type constraint qualification.
“…More recently, Jović [4] presented necessary and sufficient optimality conditions under generalized concavity (quasiconcavity and pseudoconcavity) for vector continuous-time programming using the Mangasarian-Fromovitz constraint qualification given by Monte and de Oliveira [7]. In [5], Jović and Marinković derived zero order optimality conditions under convexity assumptions.…”
The paper addresses multi-objective continuous-time nonlinear programming problems with equality and inequality constraints. It is obtained first and second-order necessary optimality conditions through a constant rank-type constraint qualification.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.