Results 91 to 100 of about 1,977,959 (288)

A Bumble bees mating optimization algorithm for global unconstrained optimization problems

, 2010
Summarization: A new nature inspired algorithm, that simulates the mating behavior of the bumble bees, the Bumble Bees Mating Optimization (BBMO) algorithm, is presented in this paper for solving global unconstrained optimization problems.
Μαρινακη Μαγδαληνη(http://users.isc.tuc.gr/~mmarinaki), Ματσατσινης Νικολαος(http://users.isc.tuc.gr/~nmatsatsinis), Marinakis Ioannis(http://users.isc.tuc.gr/~imarinakis), Μαρινακης Ιωαννης(http://users.isc.tuc.gr/~imarinakis), Matsatsinis Nikolaos(http://users.isc.tuc.gr/~nmatsatsinis), Marinaki Magdalini(http://users.isc.tuc.gr/~mmarinaki)   +5 more
core   +1 more source

Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis. [PDF]

Front Comput Neurosci, 2022
Jaffar F, Mashwani WK, Al-Marzouki SM, Aamir N, Abiad M.   +4 more
europepmc   +1 more source

Liquid Gallium Nanozyme Coatings Enable Sustained Nitric Oxide Generation With Antioxidant and Anti‐Inflammatory Functions

Advanced Science, EarlyView.
Liquid gallium (Ga) acts as a catalytic center for nitric oxide (NO) generation within a tannic acid–zirconium metal–phenolic network coating. Stabilized Ga nanoparticles catalyze S‐nitrosothiol decomposition through surface electron transfer, enabling controlled NO production, enhancing endothelial biocompatibility, and providing antioxidant and anti ...
Franco Centurion, Kang Lin, Shu Geng, Siti Nur Asyura Adzlan, Qingqing Fan, Federico Mazur, Ravindra Kokate, Priyank Kumar, Christina Cortez‐Jugo, Frank Caruso, Rona Chandrawati   +10 more
wiley   +1 more source

The global convergence of spectral RMIL conjugate gradient method for unconstrained optimization with applications to robotic model and image recovery. [PDF]

PLoS One, 2023
Salihu N, Kumam P, Awwal AM, Sulaiman IM, Seangwattana T.   +4 more
europepmc   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods

Kurdistan Journal of Applied Research
Conjugate gradient (CG) algorithms are constructive for handling large-scale nonlinear optimization problems. One optimization technique intended to address unconstrained optimization issues effectively is the hybrid conjugate gradient (HCG) algorithm ...
Sara Sahib Mohammed Zaki, Hawraz Nadhim Jabbar , Sozan Saber Haider   +2 more
doaj   +1 more source

A new Multi Sine-Cosine algorithm for unconstrained optimization problems. [PDF]

PLoS One, 2021
Rehman MZ, Khan A, Ghazali R, Aamir M, Nawi NM.   +4 more
europepmc   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

A New Augmented Lagrangian Method for Equality Constrained Optimization with Simple Unconstrained Subproblem

Discrete Dynamics in Nature and Society, 2017
We propose a new method for equality constrained optimization based on augmented Lagrangian method. We construct an unconstrained subproblem by adding an adaptive quadratic term to the quadratic model of augmented Lagrangian function.
Hao Zhang, Qin Ni
doaj   +1 more source

An integral function and vector sequence method for unconstrained global optimization

, 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