Results 81 to 90 of about 68,699 (263)

Gray Wolf Optimization Algorithm for Multi-Constraints Second-Order Stochastic Dominance Portfolio Optimization

Algorithms, 2018
In the field of investment, how to construct a suitable portfolio based on historical data is still an important issue. The second-order stochastic dominant constraint is a branch of the stochastic dominant constraint theory.
Yixuan Ren, Tao Ye, Mengxing Huang, Siling Feng   +3 more
doaj   +1 more source

Gate‐Programmable Linearization of Atomically Thin Nanoelectromechanical Resonators via Duffing Nonlinearity Cancellation

Advanced Functional Materials, EarlyView.
Gate bias is used to cancel Duffing nonlinearity in atomically thin MoS2 drumhead resonators, switching their response from hardening to softening and creating a nearly linear operating point. This electrical control suppresses hysteresis, enables stronger linear drive, and improves signal‐to‐noise ratio, offering a practical route to stable 2D NEMS ...
Pengcheng Zhang, Miroslav Haluska, Cosmin Roman, Christofer Hierold   +3 more
wiley   +1 more source

Distributionally Robust Optimization Adaptive Event‐Triggered SMPC for DC‐DC Converters Subject to Unknown Disturbances and DoS Attacks

IET Power Electronics
In this paper, we present adaptive event‐triggered distributionally robust optimization stochastic model predictive control (AET‐DROSMPC) applied to DC‐DC converters subject to unknown disturbances and denial of service (DoS) attacks.
Yadong Chen, Peng Cheng
doaj   +1 more source

Performance Enhancement of Tin Chloride‐Incorporated Ferroelectric Polymer‐Based Artificial Synapse for Hardware Neural Networks

Advanced Functional Materials, EarlyView.
This paper proposes a highly efficient ferroelectric artificial synapse device based on an oxide semiconductor and SnCl2‐inserted P(VDF‐TrFE) gate dielectric layer. This FeFET significantly improved the synaptic performance due to the ion‐dipole interaction.
Hyun‐Soo Kim, Hyunkyu Lee, Yeonho Choi, Won Young Jang, Hyungmin Kim, Krishna Moorthy Ponnusamy, Hongseung Lee, Jaewook Yoo, Ji Ye Lee, S. Chandramohan, Seongin Hong, Hagyoul Bae, Hyeon‐Sik Jang, Sang Yeol Lee, Keun Heo   +14 more
wiley   +1 more source

Stochastic Optimization with Optimal Importance Sampling

CoRR
Importance Sampling (IS) is a widely used variance reduction technique for enhancing the efficiency of Monte Carlo methods, particularly in rare-event simulation and related applications. Despite its effectiveness, the performance of IS is highly sensitive to the choice of the proposal distribution and often requires stochastic calibration.
Liviu Aolaritei, Bart P. G. Van Parys, Henry Lam, Michael I. Jordan   +3 more
openaire   +2 more sources

Accelerating Stochastic Composition Optimization

J. Mach. Learn. Res., 2016
Consider the stochastic composition optimization problem where the objective is a composition of two expected-value functions. We propose a new stochastic first-order method, namely the accelerated stochastic compositional proximal gradient (ASC-PG) method, which updates based on queries to the sampling oracle using two different timescales. The ASC-PG
Mengdi Wang 0001, Ji Liu 0002, Ethan X. Fang   +2 more
openaire   +5 more sources

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

Advanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang, Dong Hyun Lee, Conan Weiland, Won‐Il Lee, Kim Kisslinger, Mingzhao Liu, Aswin kumar Anbalagan, Xiao Tong, Soumyajit Mandal, Nikhil Tiwale, Houk Jang, Chang‐Yong Nam   +11 more
wiley   +1 more source

Developmental changes in exploration resemble stochastic optimization. [PDF]

Nat Hum Behav, 2023
Giron AP, Ciranka S, Schulz E, van den Bos W, Ruggeri A, Meder B, Wu CM.   +6 more
europepmc   +1 more source

Nanodiamond Sensing in Dynamic Environments With Fast‐Tracking Through Four‐Point Positioning

Advanced Functional Materials, EarlyView.
A four‐point positioning tracking (4PPT) platform enables fast 3D feedback translational tracking of fluorescent nanodiamonds while simultaneously recording ODMR spectra. By integrating real‐time translational tracking with quantum sensing, mobile nanodiamonds are used for in‐situ nanothermometry, nanorheometry, and 6D translation–rotation tracking in ...
Guoli Zhu, Ming‐Zhong Ai, Zhi‐Yu Zhao, Weng‐Hang Leong, Shi‐Ning Chen, Xi Liu, Jing‐Wei Fan, Xi Feng, Ren‐Bao Liu, Yue Cui, Quan Li   +10 more
wiley   +1 more source

Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm

Nonlinear Analysis, 2013
A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi ...
Algirdas Lančinskas, Pilar Martinez Ortigosa, Julius Žilinskas   +2 more
doaj