- title = "A Brief Overview of Population Diversity Measures in Genetic Programming",
- author = "Thi Hien Nguyen and Xuan Hoai Nguyen",
- booktitle = "Proceedings of the Third Asian-Pacific workshop on Genetic Programming",
- year = "2006",
- editor = "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
- pages = "128--139",
- ISSN = "18590209",
- address = "Military Technical Academy, Hanoi, VietNam",
- keywords = "genetic algorithms, genetic programming, Survey",
-
URL = "
http://gpbib.cs.ucl.ac.uk/aspgp06/diversityMeasures.pdf",
- size = "12 pages",
- abstract = "In the field of Genetic Programming (GP), there has been a growing interest in the effects of loss of genetic diversity, which causes the whole population prematurely converge to local optima. Improving diversity of the population is always an implicit goal of almost any basic genetic programming system. Most research in this area suggests a diversity measurement and controls this quantitative metric to maintain genetically diverse populations. This paper brief overviews of the measures used in Genetic Programming for diversity maintenance and promotion.",
-
notes = "broken march 2020 http://www.aspgp.org
Levenshtein distance, multi-objective problem, adding nulls to force equal structure, Space mapping distance, The genospace-distance-space mapping, Subtree distances, Keijzer distance, Tackett diversity, Subtree entropy, History diversity, Frequency signature, Phenotypic diversity, Behaviour signature, Entropy measures, phenotypic diversity.",
