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Run Transferable Libraries — Learning Functional Bias in Problem DomainsMaarten Keijzer1, Conor Ryan2, and Mike Cattolico3 1Prognosys, Utrecht, The Netherlands
2University of Limerick, Ireland
3Tiger Mountain Scientific Inc., Kirkland, WA USA
Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these libraries can solve a selection of standard benchmarks considerably more quickly than GP with ADFs by building knowledge about a problem. Further, we demonstrate that a GP system with these libraries can scale much better than a standard ADF GP system when trained initially on simpler versions of difficult problems. LNCS 3103, p. 531 ff. lncs@springer.de
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