Results 21 to 30 of about 64,315 (262)
International Journal of Computational Intelligence Systems, 2020 The number of function evaluations in many industrial applications of simulation-based optimization problems is strictly limited. Therefore, only little analytical information on objective and constraint functions is available.
Amir Parnianifard +3 more
doaj +1 more source
Joint optimization of power and data transfer in multiuser MIMO systems [PDF]
, 2016 We present an approach to solve the nonconvex optimization problem that arises when designing the transmit covariance matrices in multiuser multiple-input multiple-output (MIMO) broadcast networks implementing simultaneous wireless information and power ...
Goldsmith, Andrea +3 more
core +3 more sources
Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework
Journal of Advances in Modeling Earth Systems, 2023 Recent studies have demonstrated that it is possible to combine machine learning with data assimilation to reconstruct the dynamics of a physical model partially and imperfectly observed.
Alban Farchi +4 more
doaj +1 more source
SN Applied Sciences, 2021 This study treats a multi-item single-machine dynamic lot size scheduling problem with sequence-independent setup cost and setup time. This problem has various heterogeneous decision features, such as lot sizing and lot sequencing.
Minoru Kobayashi
doaj +1 more source
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor [PDF]
, 2019 Recent work suggests that synaptic plasticity dynamics in biological models of neurons and neuromorphic hardware are compatible with gradient-based learning (Neftci et al., 2019).
Neftci, Emre +3 more
core +2 more sources
Advances in Kriging-Based Autonomous X-Ray Scattering Experiments. [PDF]
, 2020 Autonomous experimentation is an emerging paradigm for scientific discovery, wherein measurement instruments are augmented with decision-making algorithms, allowing them to autonomously explore parameter spaces of interest.
Doerk, Gregory S +4 more
core
State-of-the-art in aerodynamic shape optimisation methods [PDF]
, 2018 Aerodynamic optimisation has become an indispensable component for any aerodynamic design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind turbines, internal pipe flows, and cavities, among others, and is thus relevant ...
Skinner, S.N., Zare-Behtash, H.
core +1 more source
Active learning for feasible region discovery [PDF]
, 2019 Often in the design process of an engineer, the design specifications of the system are not completely known initially. However, usually there are some physical constraints which are already known, corresponding to a region of interest in the design ...
Couckuyt, Ivo +3 more
core +1 more source
Stochastic fiber dynamics in a spatially semi-discrete setting
, 2016 We investigate a spatially discrete surrogate model for the dynamics of a slender, elastic, inextensible fiber in turbulent flows. Deduced from a continuous space-time beam model for which no solution theory is available, it consists of a high ...
Lindner, Felix +4 more
core +1 more source
A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints [PDF]
, 2014 Accurate estimation of parameters is paramount in developing high-fidelity models for complex dynamical systems. Model-based optimal experiment design (OED) approaches enable systematic design of dynamic experiments to generate input-output data sets ...
Mesbah, Ali, Streif, Stefan
core +3 more sources