Results 151 to 160 of about 14,349 (287)

Seismic Optimization Design Method of High‐rise Building Structure Based on Unconstrained Pareto Sorting Genetic Algorithm [PDF]

Yueqian Wang, Jinlong Liu, Huanhuan Yang, Lili Zhang, Yaying Zhang, Bo Wang   +5 more
openalex   +1 more source

Efficient Rank Minimization to Tighten Semidefinite Programming for\n Unconstrained Binary Quadratic Optimization [PDF]

, 2017
Roman Pogodin, Mikhail Krechetov, Yury Maximov   +2 more
openalex   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl, Iuliia Polkova, Guokun Lyu, Frank Lunkeit, Abhirup Banerjee, Silke Schubert, Detlef Stammer   +6 more
wiley   +1 more source

End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing

Advanced Quantum Technologies, EarlyView.
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula, Sangram Deshpande, Rakesh Yata, Rushikesh Ubale, Uday Wad, Kazuki Ikeda   +5 more
wiley   +1 more source

Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large‐Scale Unconstrained Optimization [PDF]

, 2009
Jianguo Zhang, Yunhai Xiao, Zengxin Wei
openalex   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

A Cascaded Strategy With Embodied Artificial Intelligence: Forward Kinematics Solutions for CCRobot‐S

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents a novel cable‐climbing mechanism: the Collaborative Climbing Robot Squad (CCRobot‐S), a variant of Reconfigurable Cable‐Driven Parallel Robots (R‐CDPR), specifically designed for the inspection and maintenance of stay cables.
Zhenliang Zheng, Yongyuan Xu, Xuchun He, Tin Lun Lam, Ning Ding   +4 more
wiley   +1 more source

Optimization of mine ventilation energy consumption based on improved dung beetle algorithm. [PDF]

Sci Rep
Bingyan G, Zhe K.
europepmc   +1 more source

A New Spectral on the Gradient Methods for Unconstrained Optimization Minimization Problem

, 2020
Basim A. Hassan, Hawraz N. Jabbar
openalex   +1 more source

Concentration of Political Power and Adaptation to Climate Change in Developing Countries: Evidence Using the Quantile Regression Method

Sustainable Development, EarlyView.
ABSTRACT The purpose of this study is to examine the effect of constitutional power concentration on adaptation to climate change in 113 countries observed between 1995 and 2023 using the quantile regression method. The results reveal that the concentration of constitutional power hinders countries' adaptation to climate change through inequalities ...
Simplice A. Asongu, Cherif Abdramane
wiley   +1 more source