GP-Beagle: A Benchmarking Problem Repository for the Genetic Programming Community
ROBERT H. FELDT, MO Neill, Conor Ryan, Peter C. Nordin, WB Langdon · 2000
Experimental studies in genetic programming often only use a few, artical problems. The results thus obtained may not be typical and may not reect performance on problems met in the real world. To change this we propose the use of common suites of benchmark problems and introduce a benchmarking problem repository called GP-Beagle. The basic entities in the repository are problems, problem instances, problem suites and usage information. We give examples of problems and suites that can be found in the repository and identify its WWW site location.