Multi-objective optimization for ride comfort of hydro-pneumatic suspension vehicles with mechanical elastic wheel:

The new mechanical elastic wheel has the following advantages: non-pneumatic, anti-puncture, and explosion-proof. However, the larger radial stiffness is detrimental to vehicle ride comfort. To sol...

[1]  Jing Chen,et al.  Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II , 2015 .

[2]  Jianwu Zhang,et al.  Feedback linearization and sliding mode control for active hydropneumatic suspension of a special-purpose vehicle , 2010 .

[3]  K. K. Mishra,et al.  Improved multi-objective particle swarm optimization algorithm for optimizing watermark strength in color image watermarking , 2017, Applied Intelligence.

[4]  Jian Wang,et al.  Non-pneumatic mechanical elastic wheel natural dynamic characteristics and influencing factors , 2015 .

[5]  Georgia Georgiou,et al.  Multi-objective optimization of quarter-car models with a passive or semi-active suspension system , 2007 .

[6]  Hui Zhang,et al.  Application of an Artificial Fish Swarm Algorithm in Solving Multiobjective Trajectory Optimization Problems , 2017, Chemistry and Technology of Fuels and Oils.

[7]  Qiang Wang,et al.  Equivalent stiffness and dynamic response of new mechanical elastic wheel , 2016 .

[8]  Amir Khajepour,et al.  Multi-objective optimization of a hybrid electromagnetic suspension system for ride comfort, road holding and regenerated power , 2017 .

[9]  Chao Wu,et al.  Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm , 2011, Knowl. Based Syst..

[10]  Ya-hui Wang Multi-objective optimization for dynamic response of the car frame system , 2015 .

[11]  Qiang Wang,et al.  Research on vibration characteristics and its key influencing factors of new mechanical elastic wheel , 2016 .

[12]  K. Gangadharan,et al.  Vertical dynamic analysis of a quarter car suspension system with MR damper , 2017 .

[13]  Wang Lu,et al.  Multi-objective bionics design method of passive suspension parameters based on hybrid behavior game , 2010 .

[14]  Rahizar Ramli,et al.  A new multi-objective optimization method for full-vehicle suspension systems , 2016 .

[15]  Qiming Wang Key Performance Analysis of Five-hundred-meter Aperture Spherical Radio Telescope Reflective Surface Hydraulic Actuator , 2017 .

[16]  Y. Samim Ünlüsoy,et al.  Optimization of suspension parameters to improve impact harshness of road vehicles , 2012 .

[17]  Nong Zhang,et al.  Integrated Seat and Suspension Control for a Quarter Car With Driver Model , 2012, IEEE Transactions on Vehicular Technology.

[18]  A. J. Healey,et al.  An Analytical and Experimental Study of Automobile Dynamics With Random Roadway Inputs , 1977 .

[19]  Yi Wang,et al.  A Pareto improved artificial fish swarm algorithm for solving a multi-objective fuzzy disassembly line balancing problem , 2017, Expert Syst. Appl..

[20]  Yang Li,et al.  A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c-Means Clustering , 2015, Comput. Math. Methods Medicine.

[21]  Kutluk Bilge Arıkan,et al.  Modelling and optimisation of an 8 × 8 heavy duty vehicle's hydro-pneumatic suspension system , 2016 .

[22]  Qiang Wang,et al.  Numerical and experimental investigation on the camber performance of a non-pneumatic mechanical elastic wheel , 2017 .

[23]  Vladimír Goga,et al.  Optimization of Vehicle Suspension Parameters with use of Evolutionary Computation , 2012 .