Crisscross Harris hawks optimizer for global tasks and feature selection

X Wang, X Dong, Y Zhang, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Harris Hawks Optimizer (HHO) is a recent well-established optimizer based on the
hunting characteristics of Harris hawks, which shows excellent efficiency in solving a variety …

Optimal parameters extracting of fuel cell based on Gorilla Troops Optimizer

M Abd Elaziz, L Abualigah, M Issa, AA Abd El-Latif - Fuel, 2023 - Elsevier
Proton exchange membrane fuel cell (PEMFC) designs include multiple variable quantities
with various nonlinear factors, which must be determined precisely to guarantee reliable …

Enhanced arithmetic optimization algorithm for parameter estimation of PID controller

M Issa - Arabian Journal for Science and Engineering, 2023 - Springer
Abstract The Proportional-Integral-Derivative (PID) controller is a key component in most
engineering applications. The main disadvantage of PID is the selection of the best values …

[HTML][HTML] Multiobjective optimization framework for designing a vehicle suspension system. A comparison of optimization algorithms

C Llopis-Albert, F Rubio, S Zeng - Advances in Engineering Software, 2023 - Elsevier
Recent advances in robotics and digital technologies in the automotive industry, allow the
integration of vehicle systems with their virtual twins, thus facilitating their modelling and …

A hybrid metaheuristic algorithm for the multi-objective location-routing problem in the early post-disaster stage.

T Yan, F Lu, S Wang, L Wang… - Journal of Industrial & …, 2023 - search.ebscohost.com
Disasters such as earthquakes, typhoons, floods and COVID-19 continue to threaten the
lives of people in all countries. In order to cover the basic needs of the victims, emergency …

Improving parameter estimation of fuel cell using honey badger optimization algorithm

R Almodfer, M Mudhsh, S Alshathri… - Frontiers in Energy …, 2022 - frontiersin.org
In this study, we proposed an alternative method to determine the parameter of the proton
exchange membrane fuel cell (PEMFC) since there are multiple variable quantities with …

Multi-sample learning particle swarm optimization with adaptive crossover operation

X Yang, H Li - Mathematics and Computers in Simulation, 2023 - Elsevier
Particle swarm optimization (PSO) is a well-known optimization method used for solving
various optimization problems. However, PSO suffers from premature convergence and is …

Multiobjective optimization framework for designing a steering system considering structural features and full vehicle dynamics

C Llopis-Albert, F Rubio, C Devece, S Zeng - Scientific Reports, 2023 - nature.com
Vehicle handling and stability performance and ride comfort is normally assessed through
standard field test procedures, which are time consuming and expensive. However, the …

A new optimization control policy for fuzzy vehicle suspension systems under membership functions online learning

Z Zhang, J Dong - IEEE Transactions on Systems, Man, and …, 2022 - ieeexplore.ieee.org
Active vehicle suspension systems play a crucial role in isolating vibration between the car
body and pavement. In this article, based upon Takagi–Sugeno (T–S) fuzzy model, a novel …

Theoretical switch model of novel asymmetric magnetorheological damper for shock and vibration application

H Liang, J Fu, W Li, Y Wang, L Luo… - Smart Materials and …, 2023 - iopscience.iop.org
This study proposed a novel asymmetric conical flow channel magnetorheological damper
(CFC-MRD) for all-terrain vehicles (ATVs) to handle complex excitations with coexisting …