Study on multi objective optimization method and it application in aviation and deceleration device

Abstract

Multi objective optimization problems in aviation with micro and small speed reducer are often quite challenging because these problems often involve multiple and conflicting objectives. To solve the multi-objective optimization problems (MDOP), in this paper, we propose a new multi-objective differential evolution (MODE) variant, named improved double population differential cultural particle swarm optimization algorithm, inspired by improved strategy based on algorithm fusion. From the characteristics of cultural algorithm and particle swarm optimization (pso) algorithm, considering the advantages and disadvantages of both algorithms have strong complementarily. In the process of the evolution of the belief space, the strategy of "multi - layer space, the best choice" is adopted. In the process of the evolution of the group space, using the improved double group evolution difference method. To avoid a large number of high fitness infeasible solutions are discarded and the results of the algorithm are not ideal, and the convergence speed of the algorithm is improved. Multi objective optimization design of micro small speed reduction device for Aviation Based on CPSA. By comparison with the original design, the characteristics of the new design scheme are greatly improved. It is suggested that this paper proposed the method of multi objective optimization design based on the improved double population differential and multi layer culture particle swarm optimization is feasible.