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Publication Detail
Optimising Existing Software with Genetic Programming
Abstract
We show genetic improvement of programs (GIP) can scale by evolving increased performance in a widely-used and highly complex 50000 line system. GISMOE found code that is 70 times faster (on average) and yet is at least as good functionally. Indeed it even gives a small semantic gain.
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Dept of Computer Science
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Dept of Computer Science
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