Results 51 to 60 of about 7,060 (144)

A Comparative Study of MINLP and MPVC Formulations for Solving Complex Nonlinear Decision‐Making Problems in Aerospace Applications

Optimal Control Applications and Methods, Volume 47, Issue 1, Page 4-23, January/February 2026.
ABSTRACT High‐level decision‐making for dynamical systems often involves performance and safety specifications that are activated or deactivated depending on conditions related to the system state and commands. Such decision‐making problems can be naturally formulated as optimization problems where these conditional activations are regulated by ...
Andrea Ghezzi, Armin Nurkanović, Avishai Weiss, Moritz Diehl, Stefano Di Cairano   +4 more
wiley   +1 more source

Efficient First Order Methods for Linear Composite Regularizers [PDF]

, 2011
A wide class of regularization problems in machine learning and statistics employ a regularization term which is obtained by composing a simple convex function \omega with a linear transformation.
Argyriou, Andreas, Micchelli, Charles A., Pontil, Massimiliano, Shen, Lixin, Xu, Yuesheng   +4 more
core   +3 more sources

XGBoost–LSTM Regional Traffic Congestion Ratio Prediction Integrating Spatio‐Temporal and Weather Features

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes an eXtreme gradient boosting tree (XGBoost)–long short‐term memory (LSTM) fusion model using traffic big data, integrating temporal, meteorological, and spatial features. First, the XGBoost models historical congestion ratios and associated features for each region, generating preliminary predictions and extracting regional residual
Bohang Liu, Xudong Zhang, Chengcheng Liang, Tongchuang Zhang, Keyi Xiang   +4 more
wiley   +1 more source

Zeroing Neural Frameworks for Economic Dispatch in Power Systems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
ABSTRACT The economic dispatch, typically manifested as a time‐varying constrained optimization has emerged as one of the core challenges in leveraging computer intelligence for efficient computation within power systems. An inevitable consideration is that structurally complex methods may compromise computational efficiency, thereby adversely ...
Qingfa Li
wiley   +1 more source

Learning to Optimise FISTA‐PnP for Sparse Radar Imaging

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao, Yuliang Zheng, Kuoye Han, Ye Tian, Bingo Wing–Kuen Ling, Zhe Zhang, Xiaoshuai Pei, Zhihong Zhang   +7 more
wiley   +1 more source

An Augmented Lagrangian Approach for Sparse Principal Component Analysis [PDF]

, 2009
Principal component analysis (PCA) is a widely used technique for data analysis and dimension reduction with numerous applications in science and engineering. However, the standard PCA suffers from the fact that the principal components (PCs) are usually
Lu, Zhaosong, Zhang, Yong
core   +2 more sources

Power Dispatch Strategy for BESS Accounting for Intra‐Module Heterogeneity in SOH and SOC

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
To address accelerated lifetime degradation and diminished regulation capability in Battery Energy Storage Systems (BESSs) caused by neglecting intramodule heterogeneity in State of Charge (SOC) and State of Health (SOH) during power dispatch, a novel power allocation strategy explicitly accounting for intramodule SOC and SOH variations is proposed ...
Pengwei Sun, Fei Duan, Hefeng Zhai, Xin Luo, Baorong Zhou, Tianyou Yan, Aidong Xu, Yumin Zhang   +7 more
wiley   +1 more source

Real‐Time Hyperstructural Adaptive Economic Model Predictive Control for Cost‐Efficient Microgrid Operation

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
Residential microgrids that couple photovoltaic generation with lithium‐ion storage must curtail electricity expenditure while preserving battery health. Economic model predictive control (EMPC) is widely used for this task, yet a fixed formulation forces an unsatisfactory compromise: high‐fidelity models shrink linearization error but breach real‐time
Pavel Vedel, Lukas Hubka, Santi A. Rizzo
wiley   +1 more source

Convex optimization over intersection of simple sets: improved convergence rate guarantees via an exact penalty approach

, 2017
We consider the problem of minimizing a convex function over the intersection of finitely many simple sets which are easy to project onto. This is an important problem arising in various domains such as machine learning.
Bach, Francis, Bhattacharyya, Chiranjib, Kundu, Achintya   +2 more
core  

The minimax exact penalty fuzzy function method for solving convex nonsmooth optimization problems with fuzzy objective functions

Journal of Industrial and Management Optimization
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source