Results 61 to 70 of about 442,995 (188)

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, Adam Baharum, Majid Khan Majahar Ali   +2 more
doaj   +1 more source

Regularized MIMO Decoders

Journal of Communications Software and Systems, 2009
In the Multi Input Multi Output (MIMO) antenna system, it is known that the Linear Minimum Mean Squared Error (MMSE) receiver is equivalent to Tikhonov regularization.Given that, we develop a family of generalized receivers based on regularization with ...
Masoud Alghoniemy
doaj  

Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning

Machine Learning: Science and Technology
Physics-informed neural networks (PINNs) have attracted significant attention in scientific machine learning for their capability to solve forward and inverse problems governed by partial differential equations. However, the accuracy of PINN solutions is
Shota Deguchi, Mitsuteru Asai
doaj   +1 more source

Quantum optimization with linear Ising penalty functions for customer data science

Physical Review Research
Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA).
Puya Mirkarimi, Ishaan Shukla, David C. Hoyle, Ross Williams, Nicholas Chancellor   +4 more
doaj   +1 more source

Distance-weighted Sinkhorn loss for Alzheimer’s disease classification

iScience
Summary: Traditional loss functions such as cross-entropy loss often quantify the penalty for each mis-classified training sample without adequately considering its distance from the ground truth class distribution in the feature space.
Zexuan Wang, Qipeng Zhan, Boning Tong, Shu Yang, Bojian Hou, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Li Shen   +9 more
doaj   +1 more source

Regularization for Electricity Price Forecasting [PDF]

Operations Research and Decisions
The most commonly used form of regularization typically involves defining the penalty function as a ℓ1 or ℓ2 norm. However, numerous alternative approaches remain untested in practical applications. In this study, we apply ten different penalty functions
Bartosz Uniejewski
doaj  

ACCOMPLISHING THE GOALS OF A PRISON SENTENCE EXECUTED OUTSIDE OF PRISON UNDER THE ELECTRONIC SURVEILLANCE SYSTEM [PDF]

Probacja
In Poland, the penalty of imprisonment is served in prisons, and since 1 September 2009 also outside them in the electronic monitoring system. The basic purpose of serving the penalty of imprisonment in these two forms is identical, i.e.
Aldona Nawój-Śleszyński
doaj   +1 more source

A Game Theoretical Approach to Sharing Penalties and Rewards in Projects [PDF]

This paper analyzes situations in which a project consisting of several activities is not realized according to plan. If the project is expedited, a reward arises. Analogously, a penalty arises if the project is delayed.
Estevez Fernandez, M.A.
core   +1 more source

An Improvement of the Alternating Direction Method of Multipliers to Solve the Convex Optimization Problem

Mathematics
The alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions.
Jingjing Peng, Zhijie Wang, Siting Yu, Zengao Tang   +3 more
doaj   +1 more source

An Adaptive Multiparameter Penalty Selection Method for Multiconstraint and Multiblock ADMM

IEEE Open Journal of Signal Processing
This work presents a new method for online selection of multiple penalty parameters for the alternating direction method of multipliers (ADMM) algorithm applied to optimization problems with multiple constraints or functions with block matrix components.
Luke Lozenski, Michael T. McCann, Brendt Wohlberg   +2 more
doaj   +1 more source