Visualizing the generated design process with Dynamic Graph

Abstract

Generally speaking, we can consider that visualize something or certain process as a kind of simulate process. Therefore, this research regards the visualized form transformation during the generative design process as a kind of imitated process. The design process is a continuous decision-making action, however, the way that designers execute design is usually by way of from state to state during design decision-making process and it let designers lose some important information such as glance of design or form generative process. Those design information that lost and without recorded are significant information during design thinking and process. This research takes watch design as an example. Base on the theory of Wassily Kandinsky the rule of Genetic Algorithms, the system decodes basic forms of a watch and then encodes by forms and texture. After encoding, the system generates a computer-aided watch forms design prototype by way of crossover of Genetic Algorithms and collects all data during design process. Furthermore, by using these data to bring out Dynamic Graphic during form transformation based on state space and to probe whether or not it can help designers.