| This thesis puts forward a new method that the multi-objective fuzzy matter-element optimization method based on genetic algorithm to resolve the upriver optimization design problem that the existing optimization method can't to resolve.At first, the actuality and existing problem of multi-objective optimization method are looked back and analyzed. Then the fuzzy matter-element analysis method is introduced. An idea that the fuzzy matter-element analysis method can be applied to optimize the scheme of mechanical product is put forward. The idea is discussed with an example of tool-store scheme design and is validated to be feasible.After discussing the fuzzy matter-element and its application, the thesis uses the fuzzy matter-element analysis method to build an optimization model; witch is applied to optimize multi-objective design for mechanical product scheme. The fuzzy matter-element optimization method is named after this method. Many kinds of optimization problems can be resolved by it, namely, not only can the scheme optimization problem be resolved by it, but also can the general optimization problem be resolved by it. Then it is compared with the linear weighted method and the fuzzy optimization method, and is validated to be feasible and advanced through the theoretic analysis and the testing data of example. The thesis uses the genetic algorithms to answer the model and improves some operators. The improved method is validated to be advanced through the testing data of example. Later, the multi-objective fuzzy matter-element optimization is applied to design a scheme of mechanical driver. How to code chromosomes, calculate fitness and evolve population are discussed inthe thesis. The proposed method is ulteriorly validated to be feasible and advanced.At last, the proposed method is applied to develop a fuzzy matter-element optimization CAD archetypal system by Visual LISP and ObjectARX based on AutoCAD 2000. |
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