Abstract
Genetic programming (GP) was used in an experiment to
investigate the possibility of learning rules that
trigger adaptive mesh refinement. GP detected mesh
cells that required refinement by evolving a formula
involving cell quantities such as material densities.
Various cell variable combinations were investigated in
order to identify the optimal ones for indicating mesh
refinement. The problem studied was the high speed
impact of a spherical ball on a metal plate.
- (artificial
- (mechanical),
- adaptive
- algorithms,
- applications
- ball,
- cells,
- computation,
- computing,
- densities,
- differential
- dynamics,
- engineering
- equations,
- evolution,
- evolutionary
- genetic
- high
- i,mpact
- impact
- impact,
- intelligence),
- learning
- learning,
- material
- mechanical
- mesh
- metal
- novel
- partial
- plate
- programming,
- refinement
- refinement,
- rule
- speed
- spherical
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