Results 1 to 10 of about 304,113 (304)
Nonlinear Integer Programming [PDF]
, 2009 Research efforts of the past fifty years have led to a development of linear integer programming as a mature discipline of mathematical optimization.
Raymond Hemmecke +3 more
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Scientific AfricanIn this paper, we provide novel generalizations of the D-type-I functions by relaxing the D-Preinvexity functions using the mean-valued theorem. Under these new generalizations of the D-Preinvexity type-I functions, we also study the optimality solutions
Mohamed Abd El-Hady Kassem +1 more
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REGULARITY CODITIONS IN NONLINEAR PROGRAMMING PROBLEMS
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 Weak regularity conditions are studied. Necessary and sufficient conditions of R -regularity are obtained. The relations between different types of regularity conditions are investigated.
L. I. Minchenko, A. E. Leschov
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Comparison of linear and nonlinear programming approaches for "worst case dose" and "minmax" robust optimization of intensity-modulated proton therapy dose distributions. [PDF]
J Appl Clin Med Phys, 2017 Zaghian M +6 more
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Revista Ingeniería, Matemáticas y Ciencias de la Información, 2022 This article presents a nonlinear programming mathematical model that coordinates inventories and production in alogistics network made up of plants, distributors, and retailers.
César Augusto Pineda Pérez
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Fractal and Fractional, 2022 In this paper, the Fischer–Burmeister active-set trust-region (FBACTR) algorithm is introduced to solve the nonlinear bilevel programming problems. In FBACTR algorithm, a Karush–Kuhn–Tucker (KKT) condition is used with the Fischer–Burmeister function to ...
Bothina Elsobky, Gehan Ashry
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Solving Non-linear Neutrosophic Linear Programming Problems [PDF]
Neutrosophic Sets and Systems, 2023 Non-linear neutrosophic numbers (NLNNs) are different kinds of neutrosophic numbers with at least one non-linear membership function (either of truthiness, falsity or indeterminacy part) of the information.
Kailash Lachhwani
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Heap-Based Optimizer Algorithm with Chaotic Search for Nonlinear Programming Problem Global Solution
International Journal of Computational Intelligence Systems, 2023 In this paper, a heap-based optimizer algorithm with chaotic search has been presented for the global solution of nonlinear programming problems. Heap-based optimizer (HBO) is a modern human social behavior-influenced algorithm that has been presented as
Rizk M. Rizk-Allah +3 more
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An interior-point trust-region algorithm to solve a nonlinear bilevel programming problem
AIMS Mathematics, 2022 In this paper, a nonlinear bilevel programming (NBLP) problem is transformed into an equivalent smooth single objective nonlinear programming (SONP) problem utilized slack variable with a Karush-Kuhn-Tucker (KKT) condition. To solve the equivalent smooth
B. El-Sobky, G. Ashry
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A two-stage method for assessing the efficiency of the three-stage series network data envelopment analysis model with two feedback [PDF]
Decision Science Letters, 2019 Data envelopment analysis models play an important role in decision making. In this paper, one-stage and two-stage nonlinear programming problems are investigated in order to evaluate the efficiency of two types of network data envelopment analysis model.
Hamidreza Ghomi +2 more
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