Multi-agent evolutionary systems for the generation of complex virtual worlds
This addresses the problem of time-consuming modeling for designers in films, games, and virtual reality, though it appears incremental as it builds on existing IGA methods.
The paper tackles the laborious task of modeling complex virtual worlds by introducing an Interactive Genetic Algorithm (IGA) enhanced with an intelligent agent to reduce user fatigue, accelerating layout and distribution of elements while capturing designer intent.
Modern films, games and virtual reality applications are dependent on convincing computer graphics. Highly complex models are a requirement for the successful delivery of many scenes and environments. While workflows such as rendering, compositing and animation have been streamlined to accommodate increasing demands, modelling complex models is still a laborious task. This paper introduces the computational benefits of an Interactive Genetic Algorithm (IGA) to computer graphics modelling while compensating the effects of user fatigue, a common issue with Interactive Evolutionary Computation. An intelligent agent is used in conjunction with an IGA that offers the potential to reduce the effects of user fatigue by learning from the choices made by the human designer and directing the search accordingly. This workflow accelerates the layout and distribution of basic elements to form complex models. It captures the designer's intent through interaction, and encourages playful discovery.