Results 31 to 40 of about 13,755 (295)

Gravitational Co-evolution and Opposition-based Optimization Algorithm [PDF]

International Journal of Computational Intelligence Systems, 2013
In this paper, a Gravitational Co-evolution and Opposition-based Optimization (GCOO) algorithm is proposed for solving unconstrained optimization problems.
Yang Lou, Junli Li, Yuhui Shi, Linpeng Jin   +3 more
doaj   +1 more source

A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization

Journal of Applied Mathematics, 2014
A new self-adaptive rule of trust region radius is introduced, which is given by a piecewise function on the ratio between the actual and predicted reductions of the objective function.
Yunlong Lu, Wenyu Li, Mingyuan Cao, Yueting Yang   +3 more
doaj   +1 more source

A comparative study of a teaching–learning-based optimization algorithm on multi-objective unconstrained and constrained functions

Journal of King Saud University: Computer and Information Sciences, 2014
Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Real-life engineering designs often contain more than one conflicting objective function, which requires a multi ...
R. Venkata Rao, G.G. Waghmare
doaj   +1 more source

Effective Sliding Motions of Vibration‐Induced Emission Stoppers in Mechanically Interlocked Molecules as Artificial Muscle Tougheners and In Situ Molecular Shuttling Sensors for Self‐Healable Mechano‐Fluorescent Polyurethane Organogels

Advanced Functional Materials, EarlyView.
The self‐healable ratiometric mechano‐fluorescent polyurethane (PU) organogel is constructed by incorporating a minor amount (ca. 1.5 wt.%) of the unconventional daisy chain rotaxane (as an artificial molecular muscle toughener) with specific sliding motions and ratiometric emission behaviors into the PU skeleton, which reveals the progressed intrinsic
Tu Thi Kim Cuc, Yu‐Chen Lai, Trang Manh Khang, Wei‐Tsung Chuang, Tung‐Kung Wu, Ricardas Rotomskis, Simona Steponkiene, Hong‐Cheu Lin   +7 more
wiley   +1 more source

Atomic‐Level Dual‐Cation Engineering Enables High‐Performance Na4VMn(PO4)3 Cathodes for Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
Dual‐cation site engineering unlocks stable and fast sodium storage in Na4VMn(PO4)3 cathodes. Li+ at Na2 suppresses Jahn‐Teller distortion, while K+ at Na1 expands ion channels, enabling synchronized V/Mn redox and quasi‐single‐phase kinetics. This atomic‐level strategy achieves ultralong cycling stability, high‐rate capability, and full cell viability
Jiaze Sun, Xiaoyu Hu, Xianhe Meng, Nengjun Yu, Qiaoling Kang, Lijing Yan, Meiqiang Fan, Chubin Wan, Tingli Ma   +8 more
wiley   +1 more source

Speedup of high-order unconstrained binary optimization using quantum $${{\mathbb{Z}}}_{2}$$ Z 2 lattice gauge theory

Communications Physics
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang, Xiaopeng Cui, Qingguo Zeng, Yemin Zhan, Man-Hong Yung, Yu Shi   +5 more
doaj   +1 more source

A THREE-TERM CONJUGATE GRADIENT METHOD FOR LARGE-SCALE MINIMIZATION IN ARTIFICIAL NEURAL NETWORKS

Barekeng
Conjugate Gradient (CG) methods are widely used for solving unconstrained optimization problems due to their efficiency and low memory requirements. However, standard CG methods may not always guarantee sufficient descent condition, which can impact ...
Umar A Omesa, Muhammad Y. Waziri, Issam A. R. Moghrabi, Sulaiman M. Ibrahim, Gudu E B, Fakai S L, Rabiu Bashir Yunus, Elissa Nadia Madi   +7 more
doaj   +1 more source

Miniaturized Wireless tDCS With Concentric Electrodes for Targeted Cortical Stimulation in Freely Moving Mice

Advanced Healthcare Materials, EarlyView.
This study introduces a wireless and miniaturized concentric‐electrode tDCS (CE‐tDCS) system tailored for freely moving mice. The device enables focal and multi‐site cortical stimulation via a lightweight, Bluetooth‐controlled platform. By integrating local neuromodulation with real‐time behavioral analysis, the system provides a robust tool for ...
Minseok Kim, Sehwan Park, Haeyun Lee, Giheon Kim, Namsun Chou, Hyogeun Shin   +5 more
wiley   +1 more source

An Improved Chicken Swarm Optimization Algorithm and its Application in Robot Path Planning

IEEE Access, 2020
Chicken swarm optimization (CSO) algorithm is one of very effective intelligence optimization algorithms, which has good performance in solving global optimization problems (GOPs). However, the CSO algorithm performs relatively poorly in complex GOPs for
Ximing Liang, Dechang Kou, Long Wen
doaj   +1 more source

A Sufficient Descent 3-Term Conjugate Gradient Method for Unconstrained Optimization Algorithm

Tikrit Journal of Pure Science, 2023
In recent years, 3-term conjugate gradient algorithms (TT-CG) have sparked interest for large scale unconstrained optimization algorithms due to appealing practical factors, such as simple computation, low memory requirement, better sufficient descent ...
Ghada Moayid Al-Naemi, Samaa AbdulQader
doaj   +1 more source