Advanced Population Diversity Measures in Genetic Programming

@inproceedings{Burke2002AdvancedPD,
  title={Advanced Population Diversity Measures in Genetic Programming},
  author={Edmund K. Burke and Steven M. Gustafson and Graham Kendall and Natalio Krasnogor},
  booktitle={PPSN},
  year={2002}
}
This paper presents a survey and comparison of significant diversity measures in the genetic programming literature. This study builds on previous work by the authors to gain a deeper understanding of the conditions under which genetic programming evolution is successful. Three benchmark problems (Artificial Ant, Symbolic Regression and Even-5-Parity) are used to illustrate different diversity measures and to analyse their correlation with performance. Results show that measures of population… CONTINUE READING
Highly Cited
This paper has 120 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 50 extracted citations

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

IEEE Transactions on Evolutionary Computation • 2004
View 7 Excerpts
Highly Influenced

A survey of semantic methods in genetic programming

Genetic Programming and Evolvable Machines • 2013
View 1 Excerpt

121 Citations

01020'01'04'08'12'16
Citations per Year
Semantic Scholar estimates that this publication has 121 citations based on the available data.

See our FAQ for additional information.