Results 81 to 90 of about 19,980 (297)

Distributed Inexact Consensus-Based ADMM Method for Multi-Agent Unconstrained Optimization Problem

IEEE Access, 2019
Recently, the alternating direction method of multipliers (ADMM) has been used effectively to solve the multi-agent unconstrained optimization problems, where the objective function is the sum of privately known local objective functions of agents.
Long Jian, Yiyi Zhao, Jiangping Hu, Peng Li   +3 more
doaj   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Constrained Optimization Involving Expensive Function Evaluations: A Sequential Approach [PDF]

This paper presents a new sequential method for constrained non-linear optimization problems.The principal characteristics of these problems are very time consuming function evaluations and the absence of derivative information.
Brekelmans, R.C.M., Hamers, H.J.M., Hertog, D. den, Driessen, L.   +3 more
core   +1 more source

Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]

, 2008
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
Jun Zhang, Yun Li 李 耘, Hu, X., Xiao-min Hu, Li, Y., Zhang, J.   +5 more
core   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

An integral function and vector sequence method for unconstrained global optimization [PDF]

, 2010
An integral function and a vector sequence are constructed in this paper. Their theoretical and numerical properties are investigated. Based on the integral function and the vector sequence, an algorithm is proposed for solving a class of unconstrained ...
Bai, Fusheng, Yongjian Yang, Fusheng Bai, Yang, Yongjian   +3 more
core   +1 more source

Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys

Advanced Science, EarlyView.
ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu, Changhong Dai, Wei Zhu, Ruisheng Yang, Bohan Zhang, Lei Zhang, Bobo Du, Shengxiang Wang, Guangwei Hu   +8 more
wiley   +1 more source

Efficiency of coordinate descent methods on huge-scale optimization problems [PDF]

In this paper we propose new methods for solving huge-scale optimization problems. For problems of this size, even the simplest full-dimensional vector operations are very expensive.
NESTEROV, Yurii
core  

A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees

Wasit Journal of Computer and Mathematics Science
The Conjugate Gradient method is a powerful iterative algorithm aims to find the minimum of a function by iteratively searching along conjugate directions.
Hussein Saleem Ahmed
doaj   +1 more source

Objective acceleration for unconstrained optimization [PDF]

Numerical Linear Algebra with Applications, 2018
SummaryAcceleration schemes can dramatically improve existing optimization procedures. In most of the work on these schemes, such as nonlinear generalized minimal residual (N‐GMRES), acceleration is based on minimizing the ℓ2 norm of some target on subspaces of .
openaire   +3 more sources