A new integrated design method based on fuzzy matter-element optimization

摘要

This paper puts forward a new integrated design method based on fuzzy matter-element optimization.On thernbased of analyzing the model of multi-objective fuzzy matter-element , the paper defines the matter-elementrnweightily and changes solving multi-objective fuzzy optimization into solving dependent function K(x) of thernsingle-objective optimization according to the optimization criterion.rnR~rnThe paper particularly describes the realization approach of GA process of multi-objective fuzzy matter-elementrnoptimization: encode, produce initial population, confirm fitness function, select operator, etc. In the process, thernadaptive macro genetic algorithms (AMGA) is applied to enhancing the evolution speed. The paper improves the tworngenetic operators: crossover and mutation operator. The modified adaptive macro genetic algorithms (MAMGA) is putrnforward simultaneously. It is adopted to solve the optimization problem.rnThree optimization methods, namely fuzzy matter-element optimization method, linearity weighted method and fuzzyrnoptimization method, are compared by using the table and figure, it shows that not only MAMGA is a little better thanrnthe AMGA, but also it reaches the extent to which the effective iteration generation is 62.2% of simple geneticrnalgorithms (SGA). By the calculation of optimum example, the improved method of genetic in the paper is much betterrnthan the method in reference of paper.