The Gp-based Innovative Design Technology Research And Applications

Professor J.R.Koza proposed the algorithm of GP (Genetic Programming ) in 1989. Themost important character of GP is that the individual in the population has the data structure ofTree. The basic genetic operators of GP are mutation, crossover, and selection. As one of the newbranches of Evolutionary Computation, GP is valued by experts in all kinds of fields. Since 1994,the international evolutionary computation conference of IEEE has established the "GP" topic,which is to research GP algorithm, theory, and data structure and so on. GP attempts to solve acrucial question in computation science: How does the computer solve a problem withoutobvious programming situation. Till now, GP has been applied extensively and deeply in thefields of design, optimum control, system recognition, function learning, and calculationmolecular biology and so on. All these have reflected the developing advantages and outstandingcharacteristics of GP.And after the courses of burgeoning stage and handicraft stage in design, it has reached theperiod of modern industrial design. Modern design requests the synthetic applications ofcomputer technology. It synthesizes the factors of function, technology, material, economy, safetyand beauty and so on. It is a creative activity, which is to try to get the best matches between theproducts of design and the consumers of the products. The most essential characteristic ofCreative Design, which is a modern design method, accepted by more and more designers andadapts to the demands of the development of the society, is innovation. The innovation ofproducts means that more interdisciplinary knowledge structures, more complicated technicalsupports and more complete creative theory are needed. In the period of then industry era, thecreative design of products is called "the second competition" after scientific and technicalinnovation.EC has been applied to Creative Design in and abroad. Using EC in the fields of architecturaldesign, industrial design, art design, costume design, image repairment and music has come true,and some systems have been realized.It has far-reach meaning to apply GP to the field of Creative Design, to combine thealgorithms of Evolutionary Computation and the past experience of the designers', and to utilizethe computer technology, artificial intelligence, and so on synthetically to get the creative results,which meet the requests of the designers. The main tasks that this paper has done are as follows:1.To research the theory of GP(Genetic Programming). Comparing the theory of GP withother relevant theories to get the advantages of applying GP in the Creative Design.2.To point out the importance of Creative Design, according to the shortcomings that thetraditional design method exists, and the demands of modern design. It has studied the concept ofCreative Design, the methods and means for Creative Design and also the models of CreativeDesign in this paper.3.According to the background and current situation of applying the algorithms ofEvolutionary Computation to Creative Design, this paper tries to apply the algorithm of GP toCreative Design and tries to realize the application in architectural design. to generate creativearchitectural components automatically in computer with the usage of GP algorithm. And, inorder to stimulate the designers' inspirations, the algorithm of PSO, as one of the SwarmIntelligence Algorithms, can be used, which can get the more outstanding building bodies byintelligent assembling.