Diversity in genetic programming: an analysis of measures and correlation with fitness

By Edmund Kieran Burke, Steven M. Gustafson, Graham Kendall. IEEE Transactions on Evolutionary Computation, 2004

350 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Genetics

View Paper: https://www.semanticscholar.org/paper/b29033bc7fb55cd8ee2f74cb88249a147ed7afdc

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In Artificial Intelligence

1. Nguyen Xuan Hoai
2. Nguyen Quang Uy
3. Michael O'Neill
4. Edgar Galván López
5. Robert Ian (Bob) McKay

Citations in the corpus

• Semantically-based crossover in genetic programming: application to real-valued symbolic regression (2011, background): “Previous evolutionary computation research has shown that characteristics of evolutionary operators such as their constructiveness, locality (small changes in genotype resulting in small changes in phenotype), and effect on population diversity strongly affect the performance of the resulting algori”