Results 51 to 60 of about 111,305 (313)

Lifecycle-Based Swarm Optimization Method for Numerical Optimization

Discrete Dynamics in Nature and Society, 2014
Bioinspired optimization algorithms have been widely used to solve various scientific and engineering problems. Inspired by biological lifecycle, this paper presents a novel optimization algorithm called lifecycle-based swarm optimization (LSO ...
Hai Shen, Yunlong Zhu, Xiaodan Liang
doaj   +1 more source

A new accelerated conjugate gradient method for large-scale unconstrained optimization

Journal of Inequalities and Applications, 2019
In this paper, we present a new conjugate gradient method using an acceleration scheme for solving large-scale unconstrained optimization. The generated search direction satisfies both the sufficient descent condition and the Dai–Liao conjugacy condition
Yuting Chen, Mingyuan Cao, Yueting Yang
doaj   +1 more source

Enhanced Catalytic Cycle of Glucose Oxidation and Reactive Species with ROS and RHS Generation Mediated by Galvanic Engineering of Dual Atomic Sites on Covalent Organic Frameworks Demonstrating Synergistic Bimetal Tumor Treatment

Advanced Science, EarlyView.
A galvanic replacement is used to control dual atomic metals (Au and Ir) on a covalent organic framework (COF) nanoparticle and then coated with hyaluronic acid (HA). Under a specific bimetallic ratio (COF/Aux/Ir1‐x), the optimization can be achieved for the conversion of intracellular nutrients into reactive species (HOCl and O2• ─) and effectively ...
Wei‐Chung Pan, Cheng‐Hung Luo, Wen‐Ling Lin, Liu‐Chun Wang, Divinah Manoharan, Po‐Ya Chang, Hwo‐Shuenn Sheu, Chen‐Hao Yeh, Chia‐Jui Yen, Chen‐Sheng Yeh   +9 more
wiley   +1 more source

A Combined Quasi-Newton-Type Method Using 4th-Order Directional Derivatives for Solving Degenerate Problems of Unconstrained Optimization

Кібернетика та комп'ютерні технології
Introduction. Methods of unconstrained optimization play a significant role in machine learning [1–6]. When solving practical problems in machine learning, such as tuning nonlinear regression models, the extremum point of the chosen optimality criterion ...
Viktor Zadachyn
doaj   +1 more source

A Nanostructured Ru‐Mn‐Nb Alloy with Oxygen‐Enriched Boundaries for Ampere‐Level Hydrogen Evolution

Advanced Science, EarlyView.
Ru62Mn12Nb21O5 medium‐entropy alloy with a crystal‐crystal dual‐phase structure is deposited on a carbon cloth substrate by the magnetron sputtering method. The oxygen‐rich interface induced by the rich Mn phase and the poor Mn phase optimized the electronic structure of the catalyst, adjusted the adsorption and desorption processes of intermediates ...
Jie Li, Xue Wang, Jun Yu, Kai Xu, Zhe Jia, Hongkun Li, Lei Ren, Yiyuan Yang, Keke Chang, Yangyang Li, Xiangfa Liu, Jian Lu, Sida Liu   +12 more
wiley   +1 more source

“Confined Eutectic” Strategy for Visual Refrigeration Responsive Fluorescent Materials with Easy Preparation and Multi‐Color Tunability

Advanced Science, EarlyView.
A new strategy of “confined eutectic” is proposed to achieve fluorochromic materials that can readout refrigeration temperature with naked‐eye. It leverages changes in the crystallinity of the confined eutectics in nano/micro‐domains to regulate the aggregation and dispersion states of fluorophores.
Jifang Zhao, Jiahui Du, Tianyou Qin, Sean Xiao‐An Zhang, Lan Sheng   +4 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

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

Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2005
In this paper, we have investigated self-scaling sequential unconstrained minimization techniques  (SUMT). Our new modified version on CG-method and QN- method shows that it is too effective when compared with other established  algorithms to solve ...
Ghada Al-Naemi
doaj   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source