Editorial introduction to special issue on memetic algorithms
(2004)
Journal Article
Smith, J., Krasnogor, N., & Hart, W. (2004). Editorial introduction to special issue on memetic algorithms. Evolutionary Computation, 12(3), 3-4. https://doi.org/10.1162/1063656041775009
All Outputs (44)
On appropriate adaptation levels for the learning of gene linkage (2002)
Journal Article
Smith, J. (2002). On appropriate adaptation levels for the learning of gene linkage. Genetic Programming and Evolvable Machines, 3(2), 129-155. https://doi.org/10.1023/A%3A1015579825262
Replacement strategies in steady state genetic algorithms: Dynamic environments (1999)
Journal Article
Smith, J., & Vavak, F. (1999). Replacement strategies in steady state genetic algorithms: Dynamic environments. Journal of Computing and Information Technology, 7(1), 49-60
Operator and parameter adaptation in genetic algorithms (1997)
Journal Article
Smith, J., & Fogarty, T. (1997). Operator and parameter adaptation in genetic algorithms. Soft Computing, 1(2), 81-87. https://doi.org/10.1007/s005000050009Genetic Algorithms are a class of powerful, robust search techniques based on genetic inheritance and the Darwinian metaphor of “Natural Selection”. These algorithms maintain a finite memory of individual points on the search landscape known as the... Read More about Operator and parameter adaptation in genetic algorithms.