Inproceedings,

Evolution of Mesh Refinement Rules for Impact Dynamics

, and .
Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page 1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
DOI: doi:10.1109/CEC.2000.870801

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.

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