Improved K-DOPs collision detection algorithms based on genetic algorithms
Improved K-DOPs collision detection algorithms based on genetic algorithms
In collision detection algorithm based on bounding volume hierarchies, the update cost of the bounding volume hierarchies tree when the collision detection object motion or deformation directly influenced speed of collision detection. According to this trait, the update of bounding volume hierarchies was optimized by utilizing temporal-spatial coherence in virtual environment. It can reduce the cost when the collision detection object motion or deformation that coused the update of the bounding volume hierarchies tree by using the genetic algorithm instead of traditional approximate method and improve the speed of collision detection greatly. Experimental results show that this algorithm can solve the complexity and improve the property of the collision detection algorithm effectively.
- Jilin Agricultural University China (People's Republic of)
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