Machine Tool Spindle Optimization Design Based on an Improved Cellular Multi objective Genetic Algorithm
When solving the problems that have integer decision variables and float decision variables with multi objective cellular genetic algorithm,it is sometimes failed or gets poor results due to bad parameter settings.Taking the machine spindle optimization design as the study object,a multi objective optimization design model is established with the objectives to get minimal volume and minimal deflection.When the multi objective cellular genetic algorithm(MOCell) is applied,the individual code and the crossover operator are remodified considering the characteristics of the solved problem,and at the same time,the idea of the orthogonal experiment is introduced into the algorithm.Through the simulation,a Pareto front is obtained,which distributes evenly and spreads widely.The result indicates that the modified algorithm works well with this kind of problems.