Shape Conceptual Design Based On Intuition Heuristic And Improved Genetic Algorithm

According to the developing state in the field of conceptual design, the systems of compute Aided conceptual design are studied based on mathematical algorithms of genetic algorithm, neural networks etc.The background of this research is analyzed firstly on the conceptual design, creative design, evolutionary design, shape design etc. Both advantages and disadvantages of existing methods of conceptual design are discussed and the existent problems are pointed out as well. Finally, the research methods and contents of this dissertation are introduced.The segment-continue function processes of thinking are proposed. The basic forms ofthinking are studied. Because intuition plays an important role in creativity, the process of generating intuition is simulated. The relationship between intuition, experience, association and stimuli is described in a quantitative way. The experience is achieved by Hebb's law. On the bases of definition of mutation association, the process of intuition is modeled by Hopfield neural networks, crossover and mutation operators. The cognitive and computational models for simulating intuition are established. Finally, an example for rendering fractal graphs is given to show the efficiency of the methods presented here.A new method about intelligent design is proposed by modeling the process to generate intuition. In this method, the concepts of gene expression about the design elements were defined. The improved algorithm of Hopfield neural networks for associative memory was used. So the cognitive and computational models for simulating intuition were established on the bases of crossover and mutation operators. In addition, by the models and the basic computational rules for creative design, the computational process of creative design was given. Finally, an example for creative design of table is illustrated to verify the feasibility and validity of the methods presented here.The optimization algorithms for selecting optimization structure are proposed. The problem for selecting optimization structure is the key problem of the researchers in the fields of conceptual design. According to the relationships between structure and function, the mathematical models of multi-object optimization structure design are provided. Some concepts about gene expression and correlation matrix are defined. An improved genetic algorithm called segmenting genetic algorithm is proposed. An example is given to show that this method is able to realize the automatic design of selecting optimization structure. In addition, this segmenting genetic algorithm can provide good on-line and off-line performances.The approaches selecting creative solutions are proposed in this paper. In the creative design based on Genetic algorithm, the problems for selecting creative solutions have not been solved. Firstly, an improved genetic algorithm is provided. This paper called it spreading genetic algorithm. Furthermore, good design results are found out by iterative operations. Then the results are visualized for selection of man or fitness. Finally, an example is given to show that this method is able to realize creative design.Then Cell genetic algorithm and it's application in the creative design are studied. Cell genetic algorithm is improved and the new cell genetic operators about crossover operator, mutation operator, substitution operator, compress operator, combination compress operator, compress extending operator etc. Two or many genetic operator are used in the computation process.On the basis of theoretic research above, software platform of Integrated design system for conceptual design and creative design is developed. The successful implementation in enterprise testifies the feasibility of the theories and methods presented in this dissertation.The works are concluded and recommendations for future research are also included.