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EUROGP
2000
Springer

Seeding Genetic Programming Populations

14 years 3 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs which match the training material to general solutions. The technique is demonstrated with programmatic image compression, two machine learning benchmark problems (Pima Diabetes and Wisconsin Breast Cancer) and an insurance customer profiling task (Benelearn99 data mining).
William B. Langdon, Peter Nordin
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where EUROGP
Authors William B. Langdon, Peter Nordin
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