Evolutionary algorithms for parameter optimization—thirty years later

THW Bäck, AV Kononova, B van Stein… - Evolutionary …, 2023 - ieeexplore.ieee.org
Thirty years, 1993–2023, is a huge time frame in science. We address some major
developments in the field of evolutionary algorithms, with applications in parameter …

Effect of machining parameters on turning process of Inconel 718

C Pinheiro, MY Kondo, SS Amaral… - Materials and …, 2021 - Taylor & Francis
Inconel 718 superalloys are known materials with high applicability to components that
demand exceptional chemical and mechanical properties at higher working temperatures …

High dimensional Bayesian optimization assisted by principal component analysis

E Raponi, H Wang, M Bujny, S Boria… - Parallel Problem Solving …, 2020 - Springer
Bayesian Optimization (BO) is a surrogate-assisted global optimization technique that has
been successfully applied in various fields, eg, automated machine learning and design …

A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization

Z Zhai, Y Tan, X Li, J Li, H Zhang - Expert Systems with Applications, 2024 - Elsevier
In many practical many-objective optimization problems, the computational cost of real
evaluation is often high. To solve such problems, surrogate-assisted evolutionary algorithms …

Rotated black hole: A new heuristic optimization for reducing localization error of WSN in 3D terrain

QW Chai, JW Zheng - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Wireless sensor network (WSN) attracts the attention of more and more researchers, and it is
applied in more and more environment. The localization information is one of the most …

[HTML][HTML] Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources

R Morales, J Ravelid, K Vinkovic… - Atmospheric …, 2022 - amt.copernicus.org
Mapping trace gas emission plumes using in situ measurements from unmanned aerial
vehicles (UAVs) is an emerging and attractive possibility to quantify emissions from localized …

[HTML][HTML] An automated approach to groundwater quality monitoring—geospatial mapping based on combined application of Gaussian Process Regression and …

D Shadrin, A Nikitin, P Tregubova, V Terekhova… - Water, 2021 - mdpi.com
Sustainable management of the environment is based on the preservation of natural
resources, first of all, freshwater—both surface and groundwater—from exhaustion and …

Graph signal reconstruction techniques for iot air pollution monitoring platforms

P Ferrer-Cid, JM Barcelo-Ordinas… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Air pollution monitoring platforms play a very important role in preventing and mitigating the
effects of pollution. Recent advances in the field of graph signal processing have made it …

An improved bagging ensemble surrogate-assisted evolutionary algorithm for expensive many-objective optimization

Q Gu, X Zhang, L Chen, N Xiong - Applied Intelligence, 2022 - Springer
When the surrogate-assisted evolutionary algorithm is used to solve expensive many-
objective optimization problems, the surrogate is used to approximate the expensive fitness …

Deep clustering of the traveling salesman problem to parallelize its solution

VV Romanuke - Computers & Operations Research, 2024 - Elsevier
A method of heuristically solving large traveling salesman problems is suggested, where a
dramatic computational speedup is guaranteed. A specific genetic algorithm is the solver …