Pareto Optimization of a Five-Degree of Freedom Vehicle Vibration Model Using a MultiObjective Uniform-Diversity Genetic Algorithm (MUGA), Engineering

a b s t r a c t 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 and forward tire and relative displacement between sprung mass and rear tire. Further, different pairs of these objective functions have also been selected for 2-objective optimization processes. The comparison of the obtained results with those in the literature demonstrates the superiority of the results of this work. It is shown that the results of 5-objective optimization include those of 2-objective optimization and, therefore, provide more choices for optimal design of a vehicle vibration model

A new adaptive differential evolution optimization algorithm based on fuzzy inference system

In this paper, a new version of differential evolution (DE) with adaptive mutation factor has been proposed for solving complex optimization problems. The proposed algorithm uses fuzzy logic inference system to dynamically tune the mutation factor of DE and improve its exploration and exploitation. In this way, two factors, named, the number of generation and population diversity are considered as inputs and, one factor, named, the mutation factor as output of the fuzzy logic inference system. The performance of the suggested approach has been tested firstly by using some popular single objective test functions. It has been shown that the proposed method finds better solutions than the classical differential evolution and also the convergence rate of that is really fast. Secondly, a five degree of freedom vehicle vibration model is chosen to be optimally designed by the aforesaid proposed approach. Comparison of the obtained results with those in the literature demonstrates the superiority of the results of this work