Partial Exactness for the Penalty Function of Biconvex Programming [PDF]
Entropy, 2021 Biconvex programming (or inequality constrained biconvex optimization) is an important model in solving many engineering optimization problems in areas like machine learning and signal and information processing.
Min Jiang, Zhiqing Meng, Rui Shen
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Smoothing approximation to the lower order exact penalty function for inequality constrained optimization [PDF]
Journal of Inequalities and Applications, 2018 For inequality constrained optimization problem, we first propose a new smoothing method to the lower order exact penalty function, and then show that an approximate global solution of the original problem can be obtained by solving a global solution of ...
Shujun Lian, Nana Niu
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Penalty parameter of the penalty function method [PDF]
, 2014 The penalty parameter of penalty function method is systematically analyzed and discussed. For the problem that Deb's feasibility-based rule doesnot give the detailed instruction as how to rank two solutions when they have the same constraint violation, an improved Deb's feasibility-based rule is presented, which can be seen as a reference standard ...
Si, Cheng Yong +4 more
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A unifying theory of exactness of linear penalty functions II: parametric penalty functions [PDF]
Optimization, 2017 In this article we develop a general theory of exact parametric penalty functions for constrained optimization problems. The main advantage of the method of parametric penalty functions is the fact that a parametric penalty function can be both smooth and exact unlike the standard (i.e. non-parametric) exact penalty functions that are always nonsmooth.
Dolgopolik, M. V.
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THE GERMAN-GEORGIAN MODEL OF PENALTY REGULATION (Comparative-Legal Analysis) [PDF]
სამართალი და მსოფლიო, 2021 The present article reviews the Penalty as an additional claim securing tool that has been adopted in private or public-legal relations and nowadays, it is characteristic to the laws of all countries belonging to the Roman-German (continental) or Anglo ...
Irakli Shamatava
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Optimizing a Time-Sensitive Supply Chain with a Power Function Penalty Cost [PDF]
Journal of Engineering, Project, and Production Management, 2023 In a cost-based supply chain delivery performance model, accurately depicting the penalty cost associated with an untimely delivery is an important component of the supply chain’s delivery performance.
Jinyu Yang, Xiaoyu Xing
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A new logarithmic penalty function approach for nonlinear constrained optimization problem [PDF]
Decision Science Letters, 2019 This paper presents a new penalty function called logarithmic penalty function (LPF) and examines the convergence of the proposed LPF method. Furthermore, the LaGrange multiplier for equality constrained optimization is derived based on the first-order ...
Mansur Hassan , Adam Baharum
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On the Expected Discounted Penalty Function Using Physics-Informed Neural Network
Journal of Mathematics, 2023 We study the expected discounted penalty at ruin under a stochastic discount rate for the compound Poisson risk model with a threshold dividend strategy. The discount rate is modeled by a Poisson process and a standard Brownian motion.
Jiayu Wang, Houchun Wang
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A Kind of FM-BEM Penalty Function Method for a 3D Elastic Frictional Contact Nonlinear System
Journal of Mathematics, 2021 In this paper, a kind of node_face frictional contact FM-BEM penalty function method is presented for 3D elastic frictional contact nonlinear problems. According to the principle of minimum potential energy, nonpenetrating constraints are introduced into
Chunxiao Yu +3 more
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An Over-Modulated Model Predictive Current Control for Permanent Magnet Synchronous Motors
IEEE Access, 2022 To improve the voltage utilization rate of DC bus and reduce the voltage vector tracking error, a finite-control-set modulated model predictive control (FCS-M2PC) with overmodulation capacity for permanent magnet synchronous motor (PMSM) incorporating ...
Feng Yu, Kaikai Li, Zhihao Zhu, Xing Liu
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