一类非可微多目标分式规划问题的混合对偶

本文在高阶(F,α,ρ,d)-凸性条件假设下,讨论了一类带支撑函数的不可微多目标分式规划的混合对偶模型(MD)maxφ(y,λ,u)=(f(y)+〈w,y〉)/g(y)+μTh(y)e满足λT▽[(f+w)/g](y)+μT▽h(y)=0,μTh(y)≥0,y∈S,λ∈Rp+,λTe=1,μ∈Rp+。对于该类混合对偶模型,本文首先证明了弱对偶定理是成立的。同时,在弱对偶定理的基础上,利用适当的约束规格建立了该类混合对偶模型的强对偶定理。

关于FRITZ JOHN条件

本文证明多目标问题的有效解总适合 Fritz John必要条件 ,并利用单目标规划问题最优解的一个新的 Fritz

HIGHER-ORDER DUALITY FOR A CLASS OF NONDIFFERENTIABLE MULTIOBJECTIVE PROGRAMMING PROBLEMS INVOLVING GENERALIZED TYPE I AND RELATED FUNCTIONS

This paper extends the class of generalized type I functions introduced by Aghezzaf and Hachimi（2000） to the context of higher-order case and formulate a number of higher-order duals to a non-differentiable multi-objective programming problem and establishes higher-order duality results under the higher-order generalized type I functions introduced in the present paper, A special case that appears repeatedly in the literature is that the support function is the square root of a positive semi-definite quadratic form. This and other special cases can be readily generated from these results.

Optimality Conditions and Duality for Nondifferentiable Multiobjective Semi-Infinite Programming Problems with Generalized(C,α,ρ,d)-Convexity

This paper obtains sufficient optimality conditions for a nonlinear nondifferentiable multiobjective semi-infinite programming problem involving generalized(C,α,ρ,d)-convex functions.The authors formulate Mond-Weir-type dual model for the nonlinear nondifferentiable multiobjective semiinfinite programming problem and establish weak,strong and strict converse duality theorems relating the primal and the dual problems.