Duality For NonditTerentiable Multiobjective Programming Without A Constraint Qualification

dc.contributor.author劉正傳zh_tw
dc.contributor.authorJ. C. Liuen_US
dc.date.accessioned2016-04-28T02:30:50Z
dc.date.available2016-04-28T02:30:50Z
dc.date.issued1993-07-??
dc.description.abstractNecessary and sufficient conditions without constraint qualification for pareto optimality of multiobjective programming are derived. This article suggests the establishment of a Wolfe-type duality theorem for nondifferentiable, convex, multiobjective minimization problems. The vector Lagrangian and the generalized saddle point for pareto optimality are studied. Key works. Multiobjective programming, pareto optimality, cone of directions, vector Lagrangian, Pareto saddle point.en_US
dc.identifier37D4A71B-EE38-BBE9-F412-18143DADFD03
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/77689
dc.language英文
dc.publisher國立僑生大學先修班zh_tw
dc.relation1,395-412
dc.relation.ispartof國立僑生大學先修班學報zh_tw
dc.titleDuality For NonditTerentiable Multiobjective Programming Without A Constraint Qualificationzh-tw

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