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Surrogate-Agent Modeling for Improved Training

2014
Computer-aided practice can help improve personnel training for demanding scenarios in terms of time and quality. In this paper, we concentrate on asymmetrical conflicts, such as a unit that deals with hostile crowds robbing a store, with the aim of preventing further criminal activity and at the same time minimizing physical and emotional damage.
Ales Tavcar   +4 more
openaire   +1 more source

Optimization with Surrogate Models

2013
In this chapter, we show how artificial curiosity can be used to focus on the most pertinent search points in black-box optimization. We present a novel response surface method, which employs a memory-based model to estimate the interestingness of each candidate point using Gaussian process regression.
openaire   +1 more source

Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study

Information Sciences, 2021
Hao Tong   +2 more
exaly  

Reduced order and surrogate models for gravitational waves

Living Reviews in Relativity, 2022
Manuel Tiglio, Aaron Villanueva
exaly  

OTL-PEM: An Optimization-Based Two-Layer Pointwise Ensemble of Surrogate Models

Journal of Mechanical Design, Transactions of the ASME, 2022
Xueguan Song, Pang Yong, Song Xueguan
exaly  

Uncertainty in Surrogate Models

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016
openaire   +1 more source

Surrogate Models in Rock and Soil Mechanics: Integrating Numerical Modeling and Machine Learning

Rock Mechanics and Rock Engineering, 2022
Jason Furtney, Wei Fu
exaly  

SURROGATE MODELS

2018
Jan A. Snyman, Daniel N. Wilke
openaire   +1 more source

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