Abstract
AntTAG in 4, which combines ant search and GGGP, is
a promising new method for program automatic synthesis.
This paper studied the behavior of AntTAG on a specific
symbolic regression problem. Based on observations, we
slightly tailored AntTAG for this specific problem.
This tailored version showed impressive performance.
Experiments using AntTAG on more challenging symbolic
regressions have been conducted. AntTAG significantly
outperformed its GP counterpart, TAGGGP 6.
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