Outputs (126)

Improving nearest neighbor classifier using tabu search and ensemble distance metrics (2006)
Presentation / Conference
Tahir, M. A., & Smith, J. (2006, December). Improving nearest neighbor classifier using tabu search and ensemble distance metrics. Paper presented at ICDM '06: Proceedings of the Sixth International Conference on Data Mining

Gene libraries: Coverage, efficiency and diversity (2006)
Conference Proceeding
Cayzer, S., & Smith, J. (2006). Gene libraries: Coverage, efficiency and diversity. In H. Bersini, & J. Carneiro (Eds.), In Artificial Immune Systems. ICARIS 2006. , (136-149). https://doi.org/10.1007/11823940_11

Gene libraries are a biological mechanism for generating combinatorial diversity in the immune system. However, they also bias the antibody creation process, so that they can be viewed as a way of guiding lifetime learning mechanisms. In this paper w... Read More about Gene libraries: Coverage, efficiency and diversity.

A tutorial for competent memetic algorithms: Model, taxonomy and design issues (2005)
Journal Article
Krasnogor, N., & Smith, J. (2005). A tutorial for competent memetic algorithms: Model, taxonomy and design issues. IEEE Transactions on Evolutionary Computation, 9(5), 474-488. https://doi.org/10.1109/TEVC.2005.850260

The combination of evolutionary algorithms with local search was named "memetic algorithms" (MAs) (Moscato, 1989). These methods are inspired by models of natural systems that combine the evolutionary adaptation of a population with individual learni... Read More about A tutorial for competent memetic algorithms: Model, taxonomy and design issues.

A tutorial for competent memetic algorithms: Model, taxonomy, and design issues (2005)
Journal Article
Krasnogor, N., & Smith, J. (2005). A tutorial for competent memetic algorithms: Model, taxonomy, and design issues. IEEE Transactions on Evolutionary Computation, 9(5), 474-488. https://doi.org/10.1109/TEVC.2005.850260

The combination of evolutionary algorithms with local search was named "memetic algorithms" (MAs) (Moscato, 1989). These methods are inspired by models of natural systems that combine the evolutionary adaptation of a population with individual learni... Read More about A tutorial for competent memetic algorithms: Model, taxonomy, and design issues.

Recent advances in memetic algorithms (2005)
Book
Hart, W., Krasnogor, N., & Smith, J. (2005). Recent advances in memetic algorithms. Berlin, Heidelberg, New York: Springer

Memetic evolutionary algorithms (2005)
Book Chapter
Hart, W., Krasnogor, N., & Smith, J. (2005). Memetic evolutionary algorithms. In W. Hart, N. Krasnogor, & J. Smith (Eds.), Recent Advances in Memetic Algorithms (3-30). Berlin, Heidelberg, New York: Springer

The co-evolution of memetic algorithms for protein structure prediction (2005)
Book Chapter
Smith, J. (2005). The co-evolution of memetic algorithms for protein structure prediction. In W. Hart, N. Krasnogor, & J. Smith (Eds.), Recent Advances in Memetic Algorithms (105-128). Berlin, Heidelberg, New York: Springer

Book review: Introduction to evolutionary computing (2004)
Journal Article
Eiben, A. E., & Smith, J. (2004). Book review: Introduction to evolutionary computing. Evolutionary Computation, 12(2), 269-271. https://doi.org/10.1162/evco.2004.12.2.269

Introduction to evolutionary computing (2004)
Journal Article
Eiben, A. E., & Smith, J. (2004). Introduction to evolutionary computing. Computing Reviews, 45(7), 415

Authors' answer to the book review of Introduction to Evolutionary Computing Published in Issue 12: 2 (2004)
Journal Article
Eiben, A., & Smith, J. (2004). Authors' answer to the book review of Introduction to Evolutionary Computing Published in Issue 12: 2. Evolutionary Computation, 12(3), 395-395. https://doi.org/10.1162/1063656041775027