Results 51 to 60 of about 13,755 (295)

A Linesearch Algorithm with Memory for Unconstrained Optimization [PDF]

, 1998
This paper considers algorithms for unconstrained nonlinear optimization where the model used by the algorithm to represent the objective function explicitly includes memory of the past iterations. This is intended to make the algorithm less “myopic” in the sense that its behaviour is not completely dominated by the local nature of the objective ...
GOULD N., LUCIDI, Stefano, ROMA, Massimo, TOINT P.   +3 more
openaire   +4 more sources

Aging as a Loss of Goal‐Directedness: An Evolutionary Simulation and Analysis Unifying Regeneration with Anatomical Rejuvenation

Advanced Science, EarlyView.
The paper proposes that the root cause of aging is the loss of anatomical goal‐directedness after development. Using evolutionary neural cellular automata simulations, the authors show that after the organism has reached its developmental homeostatic setpoint (the adult morphology), the absence of target state to pursue leads to a drifting anatomical ...
Léo Pio‐Lopez, Benedikt Hartl, Michael Levin   +2 more
wiley   +1 more source

New Conjugate Gradient Method for Unconstrained Optimization with Logistic Mapping

Science Journal of University of Zakho, 2016
In this paper , we suggested a new conjugate gradient algorithm for unconstrained optimization based on logistic mapping, descent condition and sufficient descent condition for our  method are provided. Numerical results show that our presented algorithm
Shareef G. Shareef, Hussein A. Khatab, Sawsan S. Ismael   +2 more
doaj  

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

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

A Floating‐Gate Photoelectric Synaptic Transistor Utilizing BP/POx/WSe2 Heterostructure for Neuromorphic Visual Processing

Advanced Science, EarlyView.
In this paper, a novel floating gate transistor (BP/POx/WSe2) is developed, which enables rich synaptic functionality under optoelectronic conditions and can mimic human visual memory. By introducing a two‐path convolutional neural network that synergistically fuses optical and electronic inputs, it can achieve efficient feature extraction and weight ...
Yuxuan Zeng, Wenxing Lv, Zehai Hou, Weihua Huang, Zhipeng Yu, Zishuo Han, Rongbin Zhan, Tianle Zeng, Yawen Luo, Yu Lin, Weiming Lv, Bin Fang, Zhongming Zeng, Lianbo Guo   +13 more
wiley   +1 more source

A dimension-reducing method for unconstrained optimization

Journal of Computational and Applied Mathematics, 1996
For the unconstrained optimization problem \[ \min f(x),\;x\in\mathbb{R}^n \] a dimension-reducing numerical method is presented. The authors give for this method numerical applications and compare the obtained numerical result with conjugate gradient and variable metric methods.
T. N. Grapsa, Michael N. Vrahatis
openaire   +2 more sources

A Programmable, 3D Neuron‐On‐Chip Platform Integrating Near Real‐Time Biosensing and Multiaxial Loading for Mechanobiological Injury Profiling

Advanced Science, EarlyView.
A programmable 3D Neuron‐Injury‐on‐a‐Chip platform integrates multiaxial mechanical loading with ultrasensitive electrochemical biosensing to decode neuronal responses in real time. By mimicking physiologically relevant extension–torsion forces, the system reveals load‐specific biomarker trajectories (T‐Tau, NFL), gene regulation, and apoptosis.
Sultan Khetani, Kar Wey Yong, Mawafag F. Alhasadi, Amir Hamedzadeh, Leila Shahsavari, Atefeh Rafiei, Kalvin Wu, Omakhowa Agbojo, Anupriya Singh, Kunal Karan, Salvatore Federico, Arindom Sen, Amir Sanati‐Nezhad   +12 more
wiley   +1 more source

Dendronized Encapsulation with Hierarchical Rigidification Enabling Robust Solution Room‐Temperature Phosphorescence, Efficient Electroluminescence and Ultralong Afterglow

Advanced Science, EarlyView.
The organic RTP's rigidity‐flexibility conflict via multiscale confinement is resolved. Dendronized donor‐acceptor with alkyl carbazoles enables intramolecular encapsulation and stability of triplet excitons, achieving 9 ms solution RTP. Combined with aggregation/PMMA doping, this suppresses nonradiative decay, achieving 72% film PLQY/17.2% OLED EQE ...
Chensen Li, Zhenchen Lou, Lianrui Hu, Guohua Xie, Song Zhang, Bo Xu, Zheng Zhao, Jacky W. Y. Lam, Ben Zhong Tang   +8 more
wiley   +1 more source