Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA)

@article{NarimanZadeh2010ParetoOO,
  title={Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA)},
  author={Nader Nariman-Zadeh and M. Salehpour and Ali Jamali and E. Haghgoo},
  journal={Eng. Appl. of AI},
  year={2010},
  volume={23},
  pages={543-551}
}
In this paper, a new multi-objective uniform-diversity genetic algorithm (MUGA) with a diversity preserving mechanism called the e-elimination algorithm is used for Pareto optimization of a fivedegree of freedom vehicle vibration model considering the five conflicting functions simultaneously. The important conflicting objective functions that have been considered in this work are, namely, seat acceleration, forward tire velocity, rear tire velocity, relative displacement between sprung mass… CONTINUE READING