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Mixed Saddle Point and Its Equivalence with an Efficient Solution under Generalized (V, <i>p</i>)-Invexity 被引量:1
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作者 Arvind Kumar Pankaj Kumar Garg 《Applied Mathematics》 2015年第9期1630-1637,共8页
The purpose of this paper is to define the concept of mixed saddle point for a vector-valued Lagrangian of the non-smooth multiobjective vector-valued constrained optimization problem and establish the equivalence of ... The purpose of this paper is to define the concept of mixed saddle point for a vector-valued Lagrangian of the non-smooth multiobjective vector-valued constrained optimization problem and establish the equivalence of the mixed saddle point and an efficient solution under generalized (V, p)-invexity assumptions. 展开更多
关键词 Nonsmooth Multiobjective Programs (V p)-invexity MIXED Saddle Point Vector-Valued MIXED Lagrangian Function
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On vector variational-like inequalities and vector optimization problems with (G, α)-invexity 被引量:1
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作者 JAYSWAL Anurag CHOUDHURY Sarita 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2017年第3期323-338,共16页
The aim of this paper is to study the relationship among Minty vector variational-like inequality problem, Stampacchia vector variational-like inequality problem and vector optimization problem involving (G, α)-invex... The aim of this paper is to study the relationship among Minty vector variational-like inequality problem, Stampacchia vector variational-like inequality problem and vector optimization problem involving (G, α)-invex functions. Furthermore, we establish equivalence among the solutions of weak formulations of Minty vector variational-like inequality problem, Stampacchia vector variational-like inequality problem and weak efficient solution of vector optimization problem under the assumption of (G, α)-invex functions. Examples are provided to elucidate our results. 展开更多
关键词 Minty vector variational-like inequality problem Stampacchia vector variational-like inequality problem vector optimization problem (G α)-invexity vector critical point
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Generalized Invexity of Higher Order and Its Applications in Variational Problems
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作者 Promila Kumar Jyoti   《Applied Mathematics》 2015年第9期1638-1648,共11页
In the present paper the definition of invexity for continuous functions is extended to invexity of order m which is further generalized to ρ-pseudoinvexity type I of order m, ρ-pseudoinvexity type II of order m, as... In the present paper the definition of invexity for continuous functions is extended to invexity of order m which is further generalized to ρ-pseudoinvexity type I of order m, ρ-pseudoinvexity type II of order m, as well as ρ-quasi invexity type I of order m and ρ-quasiinvexity type II of order m. The central objective of the paper is to study variational problem where the functionals involved satisfy the above stated generalized ρ-invexity assumptions of order m. Wolfe type and Mond Weir type of duals are formulated. Sufficient optimality conditions and duality results are proved. It is demonstrated with the help of an example that the class of ρ-invex functionals of order m is more general than the class of ρ-invex functionals. Further, it may be noted that the results presented in this paper are more powerful than the existing results as this new class of functions defined here satisfies mth derivative test. 展开更多
关键词 OPTIMALITY VARIATIONAL Problem HIGHER Order ρ-invexity DUALITY
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多目标规划问题的等价描述
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作者 刘艳芳 《科技信息》 2012年第32期I0065-I0066,共2页
本文介绍了α-invex函数,pseudo-α-invex函数及quasi-α-invex函数,进而给出了一种多目标规划问题的等价描述。
关键词 多目标规划 α-invex函数 等价描述
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一类多目标规划问题的鞍点判别法
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作者 刘艳芳 《内江科技》 2012年第10期110-110,共1页
本文主要研究了向量最小值这一类多目标规划问题,并通过引入α-invex函数,α-η-拉格朗日函数的概念,给出了这类多目标规划问题的鞍点判别法。
关键词 多目标规划 α-invex函数 α-η-拉格朗日函数 鞍点判别法
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MINIMAX PROGRAMMING UNDER GENERALIZED (p, r)-INVEXITY
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作者 S. K. MISHRA Shouyang WANG K. K. LAI 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2007年第4期501-508,共8页
Minimax programming problems involving generalized (p, r)-invex functions are consid- ered. Parametric sufficient optimality conditions and duality results are established under the aforesaid assumptions on the obje... Minimax programming problems involving generalized (p, r)-invex functions are consid- ered. Parametric sufficient optimality conditions and duality results are established under the aforesaid assumptions on the objective and constraint functions. 展开更多
关键词 DUALITY minimax programming optimality conditions (p r)-invex functions.
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HIGHER-ORDER NON-SYMMETRIC DUALITY FOR NONDIFFERENTIABLE MINIMAX FRACTIONAL PROGRAMS WITH SQUARE ROOT TERMS
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作者 SONALI Vikas SHARMA Navdeep KAILEY 《Acta Mathematica Scientia》 SCIE CSCD 2020年第1期127-140,共14页
In this paper,we emphasize on a nondifferentiable minimax fractional programming(NMFP)problem and obtain appropriate duality results for higher-order dual model under higher-order B-(p,r)-invex functions.We provide a ... In this paper,we emphasize on a nondifferentiable minimax fractional programming(NMFP)problem and obtain appropriate duality results for higher-order dual model under higher-order B-(p,r)-invex functions.We provide a nontrivial illustration of a function which belongs to the class of higher-order B-(p,r)-invex but not in the class of second-order B-(p,r)-invex functions already existing in literature.An example of finding a minimax solution of NMFP problem by using higher-order B-(p,r)-invex functions has also been given.Various known results are discussed as particular cases. 展开更多
关键词 nonlinear PROGRAMMING HIGHER-ORDER DUALITY FRACTIONAL PROGRAMMING MINIMAX PROGRAMMING B-(p r)-invexity
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THE SUFFICIENT EFFICIENCY CONDITIONS IN SEMIINFINITE MULTIOBJECTIVE FRACTIONAL PROGRAMMING UNDER HIGHER ORDER EXPONENTIAL TYPE HYBRID TYPE INVEXITIES
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作者 Ram U.VERMA 《Acta Mathematica Scientia》 SCIE CSCD 2015年第6期1437-1453,共17页
First, a class of higher order exponential type hybrid (α,β, γ, η, p, h(.,.), κ(., .), w(.,., .), ω(.,.,.), θ)-invexities is introduced, second, some parametrically sufficient efficiency conditions ba... First, a class of higher order exponential type hybrid (α,β, γ, η, p, h(.,.), κ(., .), w(.,., .), ω(.,.,.), θ)-invexities is introduced, second, some parametrically sufficient efficiency conditions based on the higher order exponential type hybrid invexities are established, and finally some parametrically sufficient efficiency results under the higher order exponential type hybrid (a,β, γ, ρ, h(.,.), k(.,-), w(-,., .), w(.,., .), 0)-invexities are investigated to the context of solving semiinfinite multiobjective fractional programming problems. The notions of the higher order exponential type hybrid (a, β, γ η, p, h(., .), n(., .), w(-,.,-), ω(.,.,.), 0)-invexities encompass most of the generalized invexities in the literature. To the best of our knowledge, the results on semiinfinite multiobjective fractional programming problems established in this communication are new and application-oriented toward multitime multi- objectve problems as well as multiobiective control problems. 展开更多
关键词 semiinfinite fractional programming multiobjective fractional programming Hanson-Antczak-type generalized HAα β γ η ρh-V-invex functions hy-(α β γ η ρh(. .) k(. .) w(. . .)w(. . .) θ-invexity
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An Exact l_(1) Exponential Penalty Function Method for Multiobjective Optimization Problems with Exponential-Type Invexity
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作者 Anurag Jayswal Sarita Choudhury 《Journal of the Operations Research Society of China》 EI 2014年第1期75-91,共17页
The purpose of this paper is to devise exact l_(1) exponential penalty function method to solve multiobjective optimization problems with exponentialtype invexity.The conditions governing the equivalence of the(weak)... The purpose of this paper is to devise exact l_(1) exponential penalty function method to solve multiobjective optimization problems with exponentialtype invexity.The conditions governing the equivalence of the(weak)efficient solutions to the vector optimization problem and the(weak)efficient solutions to associated unconstrained exponential penalized multiobjective optimization problem are studied.Examples are given to illustrate the obtained results. 展开更多
关键词 Exact l_(1)exponential penalty method Exponential penalized vector optimization problems (p r)-invexity
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