Results 51 to 60 of about 679,367 (185)
Penalized variable selection procedure for Cox models with semiparametric relative risk
, 2010 We study the Cox models with semiparametric relative risk, which can be partially linear with one nonparametric component, or multiple additive or nonadditive nonparametric components.
Du, Pang, Liang, Hua, Ma, Shuangge
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Logarithmic penalty function method for invex multi-objective fractional programming problems
Journal of Taibah University for Science, 2020 In this paper, a new logarithmic penalty function method is used for solving nonlinear multi-objective fractional programming problems (MOFPP) involving invex objectives and constraints functions with respect to the same function η.
Mansur Hassan +2 more
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On a Class of human development index measures [PDF]
Using Minkowski distance function we propose a class of Human Development Index measures. Special cases of this turn out to be the popularly used linear average method as also a newly proposed displaced ideal method. Two measures of penalty are suggested.
Hippu Salk Kristle Nathan, Srijit Mishra
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Nonlinear programming without a penalty function or a filter [PDF]
, 2007 A new method is introduced for solving equality constrained nonlinear optimization problems. This method does not use a penalty function, nor a barrier or a filter, and yet can be proved to be globally convergent to first-order stationary points. It uses
Gould, Nicholas I. M. +1 more
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Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроениеThis paper proposes a method for selecting rational parameters for large-size aircraft-type unmanned aerial vehicles at the initial design stages using an optimization algorithm of differential evolution and numerical mathematical modeling of aerodynamic
V. A. Komarov +4 more
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Aggregation functions based on penalties [PDF]
Fuzzy Sets and Systems, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Calvo, Tomasa, Beliakov, Gleb
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IEEE AccessWith the increasing prevalence of multi-user, multi-service, and heterogeneous multi-device environments, there is a need to address the imperative for efficient resource allocation in contemporary wireless networks, such as those involving unmanned ...
Muhammad Irfan Mushtaq +4 more
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A Class of Exponential Penalty Functions [PDF]
SIAM Journal on Control, 1974 A class of penalty functions where the trial solutions may be interior or exterior to the feasible region of a nonlinear program is developed. Conditions under which the trial solutions become feasible are presented and a convergence rate is established.
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Jixie qiangdu, 2018 To improve the problem that the conventional design results of planetary gear transmission could not guarantee all of objectives were the optimal, aiming at the shortcomings that adaptive particle swarm optimization algorithm easily produced infeasible ...
WANG ChunHua, GUO Yue, JIANG ZongShuai
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FCS-MPC Based on Dimension Unification Cost Function
EnergiesFinite Control Set Model Predictive Control (FCS-MPC) has the ability to achieve multi-objective optimization, but there are still many challenges. The key to realizing multi-objective optimization in FCS-MPC lies in the design of the cost function ...
Jinyang Han +5 more
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