Results 21 to 30 of about 456,731 (293)
Black-hole kicks from numerical-relativity surrogate models [PDF]
Binary black holes radiate linear momentum in gravitational waves as they merge. Recoils imparted to the black-hole remnant can reach thousands of km/s, thus ejecting black holes from their host galaxies.
Gerosa, Davide +2 more
core +4 more sources
The leader–follower structure is widely used in unmanned aerial vehicle formation. This paper adopts the proportional-integral-derivative (PID) and the linear quadratic regulator controllers to construct the leader–follower formation.
Binglin Wang +4 more
doaj +1 more source
Spatio-Temporal Gradient Enhanced Surrogate Modeling Strategies
This research compares the performance of space-time surrogate models (STSMs) and network surrogate models (NSMs). Specifically, when the system response varies over time (or pseudo-time), the surrogates must predict the system response.
Johann M. Bouwer +2 more
doaj +1 more source
The current design process of mooring systems for Floating Production, Storage, and Offloading units (FPSOs) depends on the availability of the platform’s mathematical model and the accuracy of dynamic simulations.
Lucas P. Cotrim +5 more
doaj +1 more source
Fast prediction and evaluation of gravitational waveforms using surrogate models [PDF]
[Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of
Field, Scott E. +4 more
core +6 more sources
This repository contains attachments related to the publication:**[Machine Learning Surrogate Optimization Framework for an Additively Manufactured, Linearly Polarized Metal Coaxial-to-Circular Waveguide Transition for Space Applications] ****Published in: ** [Engineering Applications of AI], [Volume xxx], [Issue yyy], [Year 2025], [Page Numbers zzz or
HASAN, MUHAMMAD FAHAD +2 more
+4 more sources
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems
The central task in modeling complex dynamical systems is parameter estimation. This task is an optimization task that involves numerous evaluations of a computationally expensive objective function.
Ziga Luksic +3 more
doaj +1 more source
Empirical Study of Data-Driven Evolutionary Algorithms in Noisy Environments
For computationally intensive problems, data-driven evolutionary algorithms (DDEAs) are advantageous for low computational budgets because they build surrogate models based on historical data to approximate the expensive evaluation.
Dalue Lin +3 more
doaj +1 more source
Surrogacy-Based Maximization of Output Power of a Low-Voltage Vibration Energy Harvesting Device
The coreless microgenerators implemented in electromagnetic vibration energy harvesting devices usually suffer from power deficiency. This can be noticeably improved by optimizing the distribution of separate turns within the armature winding.
Marcin Kulik +2 more
doaj +1 more source
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy.
Chen, An +3 more
core +1 more source

