Metamodel-based simulation optimization: A systematic literature review

JVS do Amaral, JAB Montevechi… - … Modelling Practice and …, 2022 - Elsevier
Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design

H Liu, YS Ong, J Cai - Structural and Multidisciplinary Optimization, 2018 - Springer
Metamodeling is becoming a rather popular means to approximate the expensive
simulations in today's complex engineering design problems since accurate metamodels …

Design of computer experiments: A review

SS Garud, IA Karimi, M Kraft - Computers & Chemical Engineering, 2017 - Elsevier
In this article, we present a detailed overview of the literature on the design of computer
experiments. We classify the existing literature broadly into two categories, viz. static and …

IE-AK: A novel adaptive sampling strategy based on information entropy for Kriging in metamodel-based reliability analysis

J Zhou, J Li - Reliability Engineering & System Safety, 2023 - Elsevier
This article focuses on the adaptive Kriging metamodel-based reliability analysis for
reducing a sequential number of calls of the complex original functions. To avoid the …

Adaptive generation of challenging scenarios for testing and evaluation of autonomous vehicles

GE Mullins, PG Stankiewicz, RC Hawthorne… - Journal of Systems and …, 2018 - Elsevier
In this paper we propose a new method for generating test scenarios for black-box
autonomous systems that demonstrate critical transitions in performance modes. This …

MOSAT: finding safety violations of autonomous driving systems using multi-objective genetic algorithm

H Tian, Y Jiang, G Wu, J Yan, J Wei, W Chen… - Proceedings of the 30th …, 2022 - dl.acm.org
Autonomous Driving Systems (ADSs) are safety-critical systems, and safety violations of
Autonomous Vehicles (AVs) in real traffic will cause huge losses. Therefore, ADSs must be …

Safety performance boundary identification of highly automated vehicles: A surrogate model-based gradient descent searching approach

Y Wang, R Yu, S Qiu, J Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Highly automated vehicles (HAVs) have been introduced to the transportation system for the
purpose of providing safer mobility. Considering the expected long co-existence period of …

[PDF][PDF] 基于代理模型的电机多学科优化关键技术综述

谢冰川, 张岳, 徐振耀, 张凤阁, 刘文慧 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要随着电机应用领域的不断拓宽, 电机多学科优化技术已经成为电机优化技术的重要研究方向
. 该文概述了目前电机优化技术领域中囊括的多学科模型, 分析了代理模型的优势; …

Active emulation of computer codes with Gaussian processes–Application to remote sensing

DH Svendsen, L Martino, G Camps-Valls - Pattern Recognition, 2020 - Elsevier
Many fields of science and engineering rely on running simulations with complex and
computationally expensive models to understand the involved processes in the system of …

Design of double layer protective coatings: Finite element modeling and machine learning approximations

VI Kolesnikov, DM Pashkov, OA Belyak, AA Guda… - Acta Astronautica, 2023 - Elsevier
Thin film-composed coatings can significantly improve the mechanical and tribological
properties of spacecraft friction units. In this regard, protection by ion-plasma coatings has …