Lithium-ion battery state of health estimation using meta-heuristic optimization and Gaussian process regression
J Zhao, L Xuebin, Y Daiwei, Z Jun, Z Wenjin - Journal of Energy Storage, 2023 - Elsevier
Wrapper methods are widely employed in feature selection for status prediction of lithium-
ion batteries and Gaussian process regression (GPR) is often adopted for state-of-health …
ion batteries and Gaussian process regression (GPR) is often adopted for state-of-health …
[HTML][HTML] Machining parameter optimization in shear thickening polishing of gear surfaces
DN Nguyen, TP Dao, C Prakash, S Singh… - Journal of Materials …, 2020 - Elsevier
The non-Newtonian fluid polishing is an advanced method that is applied to machining the
complex surfaces. This method significantly improves the surface quality and mechanical …
complex surfaces. This method significantly improves the surface quality and mechanical …
[HTML][HTML] Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis
I Zelinka, QB Diep, V Snášel, S Das, G Innocenti… - Information …, 2022 - Elsevier
Random mechanisms including mutations are an internal part of evolutionary algorithms,
which are based on the fundamental ideas of Darwin's theory of evolution as well as …
which are based on the fundamental ideas of Darwin's theory of evolution as well as …
Ideology of Urban Road Transport Chaos and Accident Risk Management for Sustainable Transport Systems
V Morozov, AI Petrov, V Shepelev, M Balfaqih - Sustainability, 2024 - mdpi.com
Transport systems are complex systems present in modern cities. The sustainability of all
other urban systems depends on the sustainable functioning of urban transport. Various …
other urban systems depends on the sustainable functioning of urban transport. Various …
An effective hybrid approach of desirability, fuzzy logic, ANFIS and LAPO algorithm for optimizing compliant mechanism
NT Tran, N Le Chau, TP Dao - Engineering with Computers, 2021 - Springer
This paper proposes an efficient hybrid approach for solving multi-objective optimization
design of a compliant mechanism. The approach is developed by integrating desirability …
design of a compliant mechanism. The approach is developed by integrating desirability …
A hybrid computational method of desirability, fuzzy logic, ANFIS, and LAPO algorithm for multiobjective optimization design of scott russell compliant mechanism
NT Tran, N Le Chau, TP Dao - Mathematical Problems in …, 2020 - Wiley Online Library
Flexure‐based compliant mechanisms are increasingly promising in precision engineering,
robotics, and other applications, thanks to the excellent advantages of no friction, no …
robotics, and other applications, thanks to the excellent advantages of no friction, no …
Design optimization for a compliant mechanism based on computational intelligence method
NL Chau, NT Tran, TP Dao - Neural Computing and Applications, 2021 - Springer
Modeling and optimization for compliant mechanisms are challenging tasks thanks to an
unclear kinematic merging among rigid and flexible links. Hence, this paper develops a …
unclear kinematic merging among rigid and flexible links. Hence, this paper develops a …
Metodología para la construcción de generadores de números pseudo-aleatorios utilizando programación genética
I Rojas-Montes, A Cavazos-Amador… - … Ciencias Básicas E …, 2023 - repository.uaeh.edu.mx
Los generadores de números pseudoaleatorios (PRNG, por sus siglas en inglés), se utilizan
comúnmente en la informática para simular eventos aleatorios en aplicaciones como …
comúnmente en la informática para simular eventos aleatorios en aplicaciones como …
A multi-response optimal design of bridge amplification mechanism based on efficient approach of desirability, fuzzy logic, ANFIS and LAPO algorithm
N Le Chau, NT Tran, TP Dao - Arabian Journal for Science and …, 2020 - Springer
Compliant mechanism is becoming increasingly to be a part of precision engineering,
robotics, and bioengineering thanks to excellent advantages of free friction, free lubricant, no …
robotics, and bioengineering thanks to excellent advantages of free friction, free lubricant, no …
A brief overview of the synergy between metaheuristics and unconventional dynamics
R Senkerik - AETA 2018-Recent Advances in Electrical Engineering …, 2020 - Springer
This brief review paper focuses on the modern and original hybridization of the
unconventional dynamics and the metaheuristic optimization algorithms. It discusses the …
unconventional dynamics and the metaheuristic optimization algorithms. It discusses the …
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