Modern films, games and virtual reality applications are dependent on convincing computer graphics. Highly complex\nmodels are a requirement for the successful delivery of many scenes and environments. While workflows such as\nrendering, compositing and animation have been streamlined to accommodate increasing demands, modelling complex\nmodels is still a laborious task. This paper introduces the computational benefits of an Interactive Genetic Algorithm\n(IGA) to computer graphics modelling while compensating the effects of user fatigue, a common issue with Interactive\nEvolutionary Computation. An intelligent agent is used in conjunction with an IGA that offers the potential to reduce the\neffects of user fatigue by learning from the choices made by the human designer and directing the search accordingly. This\nworkflow accelerates the layout and distribution of basic elements to form complex models. It captures the designer�s\nintent through interaction, and encourages playful discovery.
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