Dynamics of a distance-based population diversity measure

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2000, Pages 1002-1009

  Barker, Allen L ^a   Martin, W N ^a  

^a Datafilter Consulting   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MUTATION; POPULATION DIVERSITY MEASURE; CROSSOVER AND MUTATION; CROSSOVER OPERATIONS; DISTANCE FUNCTIONS; EXPLICIT FORMULA; MUTATION OPERATIONS; POPULATION DIVERSITY; SPECIFIC PROPERTIES; STEADY-STATE GENETIC ALGORITHMS;

COMPUTATION THEORY; COMPUTATIONAL METHODS; MATHEMATICAL MODELS; ALGORITHMS;

GENETIC ALGORITHMS;

EID: 0033672416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Allen L. Barker and W. N. Martin. Population diversity and fitness measures based on genomic distances. Technical Report TR-99-24, University of Virginia Computer Science Department, 1999. ftp://ftp.cs.virginia.edu/pub/ techreports/CS-99-24.ps.z.
2. T. M. English. Some geometric and algebraic results on crossover. In P. Angeline, R. Reynolds, J. McDonnell, and R. Eberhart, editors, Evolutionary Programming VI, pages 285-295. Springer-Verlag, 1997.
3. Melanie Mitchell. An Introduction to Genetic Algorithms. MIT Press, 1996.
4. Joe Mott, Abraham Kandel, and Theodore Baker. Discrete Mathematics for Computer Scientists. Reston Publishing Co., 1983.
5. Athanasois Papoulis. Probability, Random Variables, and Stochastic Processes. McGraw-Hill, 1965.
6. G. Syswerda. Uniform crossover in genetic algorithms. In J. Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms, pages 2-9. Morgan Kaufmann, 1989.