Showing 1 - 20 results of 75 for search '"nonlinear programming"', query time: 0.06s Refine Results
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    Semistrict -Preinvexity and Optimality in Nonlinear Programming by Z. Y. Peng, Z. Lin, X. B. Li

    Published 2013-01-01
    “…Finally, two optimality results for nonlinear programming problems are obtained under the assumption of semistrict -preinvexity. …”
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    Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming by Hamza Khan, József K. Tar, Imre Rudas, Levente Kovács, György Eigner

    Published 2018-01-01
    “…In this paper we have investigated the possibilities of the design of a Receding Horizon Controller by using Nonlinear Programming. We have applied the developed solution in order to control Type 1 Diabetes Mellitus. …”
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    The Flattened Aggregate Constraint Homotopy Method for Nonlinear Programming Problems with Many Nonlinear Constraints by Zhengyong Zhou, Bo Yu

    Published 2014-01-01
    “…In order to improve the performance of the aggregate constraint homotopy method for solving nonlinear programming problems, with few variables and many nonlinear constraints, a flattened aggregate constraint homotopy method, that can save much computation of gradients and Hessians of constraint functions, is presented. …”
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    Nonlinear programming-based ranging optimization for three-dimensional indoor time of arrival localization by Jian Sun, Yongling Fu, Jie He, Shengguang Li, Jian Fu

    Published 2017-10-01
    “…The optimization of time of arrival ranging is defined as a nonlinear programming problem. Then, time of arrival ranging error model and geometric constraints are used to define the initial values, objective functions, and constraints of nonlinear programming, as well as to detect line of sight and nonline of sight. …”
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    Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values by Fuad S. Al-Duais, Mohammed Alhagyan

    Published 2021-01-01
    “…The proposed methodology in this research is to employ the nonlinear programming in determining the weighted coefficients of balanced loss function instead of the unguaranteed old methods. …”
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    Grading Prediction of Enterprise Financial Crisis Based on Nonlinear Programming Evaluation: A Case Study of Chinese Transportation Industry by Zhi-yuan Li

    Published 2014-01-01
    “…Therefore, a new evaluation model based on nonlinear programming is established, the nature of the model is proved, the detailed solution steps of the model are given, and the significance and algorithm of the model are thoroughly discussed in this study. …”
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    A Fuzzy Nonlinear Programming Approach for Optimizing the Performance of a Four-Objective Fluctuation Smoothing Rule in a Wafer Fabrication Factory by Horng-Ren Tsai, Toly Chen

    Published 2013-01-01
    “…In this study, a fuzzy nonlinear programming (FNLP) approach is proposed for optimizing the scheduling performance of a four-factor fluctuation smoothing rule in a wafer fabrication factory. …”
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    Drying kinetic for moisture content prediction of peels Tahiti lemon (Citrus latifolia): Approach by machine learning and optimization - genetic algorithms and nonlinear programming by Maressa O. Camilo, Romero F. Carvalho, Ariany B.S. Costa, Esly F.C. Junior, Andréa O.S. Costa, Robson C. Sousa

    Published 2025-01-01
    “…Heuristic optimization methods, including genetic algorithms (GA) and nonlinear programming (NLP), were employed to identify the best empirical and semi-empirical models for estimating moisture content during the drying process of lemon peel layers. …”
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    The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem by Jiangtao Yu, Chang-Hwan Kim, Sang-Bong Rhee

    Published 2020-01-01
    “…To test its performances in solving the DOCRs coordination problem, it is adopted in 3-bus, 4-bus, 8-bus, and 9-bus systems, which are formulated by three kinds of optimization models as linear programming (LP), nonlinear programming (NLP), and mixed integer nonlinear programming (MINLP), according to the nature of the design variables. …”
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