publication . Part of book or chapter of book . Book . 1997

Performance-Enhanced Genetic Programming

Christopher Clack; Yu, T.;
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  • Published: 01 Jan 1997
  • Publisher: Springer Berlin Heidelberg
Abstract
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest tasks because of the performance overheads of evolving a large number of data structures, many of which do not correspond to a valid program. We address this problem directly and demonstrate how the evolutionary process can be achieved with much greater efficiency through the use of a formally-based representation and strong typing. We report initial experimental results which demonstrate that our technique exhibits significantly better performance than previous work.
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