Results 41 to 50 of about 236,579 (156)
Local Sharp Vector Variational Type Inequality and Optimization Problems
In this paper, our goal was to establish the relationship between solutions of local sharp vector variational type inequality and sharp efficient solutions of vector optimization problems, also Minty local sharp vector variational type inequality and ...
Jong Kyu Kim, Salahuddin
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A new test vector optimization method for failure isolation
In order to improve the fault diagnosis efficiency and shorten the fault isolation time based on the testability modeling, a test vector optimization method is proposed. Aiming at the exact detection and isolation requirements of each failure mode in the
Jiang Jueyi, Li Fan, Li Jianhong
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An instance of a balanced optimization problem with vector costs consists of a ground set X, a cost-vector for every element of X, and a system of feasible subsets over X.
AnnetteM.C. Ficker +2 more
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A New Gap Function for Vector Variational Inequalities with an Application
We consider a vector variational inequality in a finite-dimensional space. A new gap function is proposed, and an equivalent optimization problem for the vector variational inequality is also provided.
Hui-qiang Ma +3 more
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A heuristic fault based optimization approach to reduce test vectors count in VLSI testing
In this work we have proposed a heuristic approach to reduce the test vector count during VLSI testing of standard ISCAS circuits. With the shrinking die-space and increasing circuitry on a single Integrated circuit, the number of test vectors required ...
Vinod Kumar Khera +2 more
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Substantiation of a heuristic algorithm in the knapsack problem
Introduction: Formed knapsack problem in terms of set functions and is a heuristic algorithm. The goal: to prove that the heuristic algorithm is essential. Some facts from [2].
Н.В. KHalipovа +2 more
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The purpose of this paper is introduce several types of Levitin-Polyak well-posedness for bilevel vector equilibrium and optimization problems with equilibrium constraints.
Phan Quoc Khanh +2 more
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We discuss three scalarizations of the multiobjective optimization from the point of view of the parametric optimization. We analize three important aspects: 1. What kind of singularities may appear in the different parametrizations, 2. Regularizations in the sense of Jongen, Jonker and Twilt, and in the sense of Kojima and Hirabayashi, 3.
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This paper addresses the cruise range maximization problem for hypersonic drones by proposing a combined aerodynamic force/thrust vector trajectory optimization method.
Zijun Zhang +4 more
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Using the Embedding Theorem to Solve Interval-Valued Optimization Problems
The space of all bounded closed intervals cannot form a vector space because the concept of an additive inverse cannot be considered. Therefore, this paper presents an embedding theorem to show that the space of all bounded closed intervals can be ...
Hsien-Chung Wu
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