Scalable 3D Modeling Using Multi-player Interactive Genetic Algorithm on Cloud Platform as a Service

نویسندگان

  • Takahito Seyama
  • Shintaro Bando
  • Masaharu Munetomo
چکیده

The simplification of 3D modeling in today’s computer world remains challenging, and systems to support such modeling also need to be developed. It is further necessary in 3D modeling to incorporate subjective evaluation by users into optimization techniques. In this study, support for 3D modeling was investigated, and user fatigue (a disadvantage of interactive genetic algorithm usage) was reduced via a multi-player approach. A scalable system was also constructed to prevent overload-related delays from exacerbating user fatigue.

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تاریخ انتشار 2014