IMPROVED ALGORITHM AND REALIZATION OF MECHANICAL MULTI-PARAMETER FUZZY OPTIMIZATION

Aiming at the problem of low efficiency and local optimum caused by traditional multiobjective fuzzy optimal methods, the multi-parameter fuzzy optimal mathematical models with improved symmetry and improved asymmetry genetic algorithm based on the overall optimal view are given by considering optimal membership of objectives and constraint. The best optimal solution and optimal constraint value of sub-objective function in the feasible field are found by the mathematical model. The example for helical gear with objective and constraint sets is demonstrated. The algorithm of multi-objective fuzzy optimization is realized by applying the Matlab optimum toolbox. Matlab program to realize multi-parameter fuzzy optimal GA of the helical gear is developed, the best optimal solutions of several fuzzy optimal models is obtained, and the penalty function is used to solve the problem of nonlinear constraint. The result shows that improved fuzzy GA can get satisfying results both in the computing speed and the quality of solution. The method can reflect fuzziness of the problems and practicability of the structure of the engineering project.