An interactive graphics rendering optimizer based on immune algorithm

Abstract

We propose an interactive computer graphics authoring method based on interactive evolutionary computation (IEC). Previous systems mainly employed genetic algorithm (GA) to explore an optimum set of 3D graphics parameters. The proposed method adopts a different computation model called immune algorithm (IA) to ease the creation of varied 3D models even if a user doesn't have any specific idea of final 3D products. Because artistic work like graphics design needs a process to diversify the user's imagery, a tool that can show the user a broad range of solutions is particularly important. IA enables to effectively explore a global optimum solution as well as other multiple quasi-optimum solutions in a huge search space by using its essential mechanisms such as antibody formation and self-regulating function. © Springer-Verlag Berlin Heidelberg 2007.