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All Outputs (136)

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.

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

Multimodal problems and spatial distribution (2003)
Book Chapter
Eiben, A. E., Smith, J., & Computing-slides, C. (2003). Multimodal problems and spatial distribution. In A. Eiben, & J. Smith (Eds.), Introduction to Evolutionary Computing (155). Springer

The co-evolution of memetic algorithms for protein structure prediction (2002)
Presentation / Conference
Smith, J. (2002, September). The co-evolution of memetic algorithms for protein structure prediction. Paper presented at Advances in Nature-Inspired Computation: The PPSN VII Workshops, PEDAL (Parallel, Emergent & Distributed Architectures Lab), University of Reading, Reading, UK

Alignment of protein structures with a memetic evolutionary algorithm (2002)
Presentation / Conference
Carr, B., Hart, W., Krasnogor, N., Hirst, J., Burke, E., & Smith, J. (2002, June). Alignment of protein structures with a memetic evolutionary algorithm. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), Morgan Kaufmann, San Francisco

Strategy parameter variety in self-adaption of mutation rates (2002)
Presentation / Conference
Stone, C., & Smith, J. (2002, June). Strategy parameter variety in self-adaption of mutation rates. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), Morgan Kaufmann, San Francisco, USA