For human–machine collaborative driving conditions, a hierarchical chassis multi-objective cooperative control method is proposed in this paper. Firstly, based on the phase plane theory, vehicle dynamics analysis carried out to complete definition of stability region. Secondly, linear time-varying (LTV) system model, strategy combining fuzzy with model predictive (MPC) upper layer. In strategy,...

In this paper, a method based on Nelder and Mead’s simplex search method, is developed for solving multi-objective optimization problems. Unlike other multi-objective optimization algorithms based on classical methods, this method does not require any a priori knowledge about the problem. Moreover, it does not need any pre-defined weights or additional constraints as it works without scalarizin...

Linear bilevel programming is a decision making problem with a two-level decentralized organization. The leader is in the upper level and the follower, in the lower level. This study addresses linear bilevel multi-objective multi-follower programming (LB-MOMFP) problem, a special case of linear bilevel programming problems with one leader and multiple followers where each decision maker has sev...

In this paper, we present the design and optimization of a centrifugal fan with requirements maximizing total-to-static pressure rise efficiency at two operating points maximum torque provided by motor power using 3D inverse method, DOE (design experiment) study, an RSM (response surface model) MOGA (multi-objective genetic algorithm). The geometry is parametrized 13 parameters, 120 different d...