Practical multi-objective control for automotive semi-active suspension system with nonlinear hydraulic adjustable damper
In recent, the development of the automotive semi-active suspension (SAS) system with the
nonlinear hydraulic adjustable damper (HAD) has attracted widely attention due to its …
nonlinear hydraulic adjustable damper (HAD) has attracted widely attention due to its …
Dynamic modeling and vibration analysis of bolted flange joint disk-drum structures: Theory and experiment
WC Xing, YQ Wang - International Journal of Mechanical Sciences, 2024 - Elsevier
Bolted flange joint disk-drum structures (BFJDSs) are key components in aero-engines, in
which fatigue damage often occurs due to structural vibration. However, no study has so far …
which fatigue damage often occurs due to structural vibration. However, no study has so far …
[PDF][PDF] A whale optimization algorithm with inertia weight
H Hu, Y Bai, T Xu - WSEAS Trans. Comput, 2016 - wseas.com
Whale Optimization Algorithm (WOA) is a novel nature-inspired meta-heuristic optimization
algorithm proposed by Seyedali Mirjalili and Andrew Lewis in 2016, which mimics the social …
algorithm proposed by Seyedali Mirjalili and Andrew Lewis in 2016, which mimics the social …
Differential evolution based regression algorithm for mathematical representation of electrical parameters in lithium-ion battery model
Accurate equivalent electric circuit models of a lithium-ion battery, generally consisting of
lumped electrical parameters, are of utmost importance for implementing various algorithms …
lumped electrical parameters, are of utmost importance for implementing various algorithms …
Parameter identification of nonlinear dynamic systems using an improved particle swarm optimization
Y Zheng, Y Liao - Optik, 2016 - Elsevier
Particle swarm optimization (PSO) is a stochastic population-based algorithm motivated by
intelligent collective behavior of birds. Currently, PSO has been widely used in optimization …
intelligent collective behavior of birds. Currently, PSO has been widely used in optimization …
Comparison performance of genetic algorithm and ant colony optimization in course scheduling optimizing
Scheduling problems at the university is a complex type of scheduling problems. The
scheduling process should be carried out at every turn of the semester's. The core of the …
scheduling process should be carried out at every turn of the semester's. The core of the …
Damage Properties and Rheological Model of Spatial-Rotation Fissured Red Sandstone Subjected to Freeze–Thaw and Loading
Y Li, D Huang - Rock Mechanics and Rock Engineering, 2024 - Springer
The occurrence of preset flaws can influence the mechanical, physical, and other related
properties of rock samples. To study the failure characteristics and crack growth of rock …
properties of rock samples. To study the failure characteristics and crack growth of rock …
Green product design and development using life cycle assessment and ant colony optimization
CY Ng - The International Journal of Advanced Manufacturing …, 2018 - Springer
With the growing general awareness of the need of environmental protection, some
ecodesign strategies are formulated to provide general design directions so as to develop …
ecodesign strategies are formulated to provide general design directions so as to develop …
A novel adaptive cruise control strategy for electric vehicles based on a hierarchical framework
Y Xu, L Chu, D Zhao, C Chang - Machines, 2021 - mdpi.com
Conclusive evidence has demonstrated the critical importance of adaptive cruise control
(ACC) in relieving traffic congestion. To improve the performance of the ACC system, this …
(ACC) in relieving traffic congestion. To improve the performance of the ACC system, this …
Optimal partial aggregation based energy delay compromise technique for wireless sensor network
A Raja Basha, C Yaashuwanth - IETE Journal of Research, 2019 - Taylor & Francis
Wireless sensor networks mostly use aggregated node to collect data from sensor nodes in
the network. The data aggregation process creates a major problem in normal data …
the network. The data aggregation process creates a major problem in normal data …