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All Outputs (135)

Co-evolving memetic algorithms: Initial investigations (2002)
Conference Proceeding
Smith, J. (2002). Co-evolving memetic algorithms: Initial investigations. In J. J. M. Guervós, P. Adamidis, H. Beyer, H. Schwefel, & J. Fernández-Villacañas (Eds.), In Parallel Problem Solving from Nature — PPSN VII (537-546). https://doi.org/10.1007/3-540-45712-7_52

This paper presents and examines the behaviour of a system whereby the rules governing local search within a Memetic Algorithm are co-evolved alongside the problem representation. We describe the rationale for such a system, and the implementation of... Read More about Co-evolving memetic algorithms: Initial investigations.

Genetic algorithms (2002)
Book Chapter
Smith, J. (2002). Genetic algorithms. In P. M. Pardalos, & H. E. Romeijn (Eds.), Handbook of Global Optimization (275-362). Boston, USA: Kluwer Academic Publishers

A modified neocognitron network for medical signal classification (2001)
Presentation / Conference
Steuer, M., Caleb-Solly, P., & Smith, J. (2001, June). A modified neocognitron network for medical signal classification. Paper presented at Neural Networks and Expert Systems in Medicine and HealthCare, Milos Island, Greece

Modelling GAs with self-adaptive mutation rates (2001)
Presentation / Conference
Smith, J. (2001, June). Modelling GAs with self-adaptive mutation rates. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), Morgan Kaufmann, San Francisco, USA

New methods for tunable, random landscapes (2001)
Presentation / Conference
Smith, R. E., & Smith, J. (2001, June). New methods for tunable, random landscapes. Paper presented at Foundations of Genetic Algorithms 6, Morgan Kaufmann, San Francisco, USA

MAFRA: A java memetic algorithms framework (2000)
Presentation / Conference
Krasnogor, N., & Smith, J. (2000, July). MAFRA: A java memetic algorithms framework. Paper presented at Workshops Proceedings of the 2000 International Genetic and Evolutionary Computation Conference (GECCO2000), Las Vegas, Nevada, USA

An examination of tuneable, random search landscapes (1999)
Presentation / Conference
Smith, R., & Smith, J. (1999, June). An examination of tuneable, random search landscapes. Paper presented at Foundations of Genetic Algorithms 5, Morgan Kaufmann, San Francisco, USA

Protein structure prediction with evolutionary algorithms (1999)
Presentation / Conference
Krasnogor, N., Hart, W., Smith, J., & Pelta, D. (1999, June). Protein structure prediction with evolutionary algorithms. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), Morgan Kaufmann, San Francisco, USA

Self adaptation in evolutionary algorithms (1998)
Thesis
Smith, J. Self adaptation in evolutionary algorithms. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/1099661

Evolutionary Algorithms are search algorithms based on the Darwinian metaphor of “Natural Selection”. Typically these algorithms maintain a population of individual solutions, each of which has a fitness attached to it, which in some way reflects the... Read More about Self adaptation in evolutionary algorithms.

Genetic selection of features for clustering and classification (1997)
Presentation / Conference
Smith, J., Fogarty, T. C., & Johnson, I. R. (1997, June). Genetic selection of features for clustering and classification. Paper presented at Genetic Algorithms in Image Processing and Vision, IEE Colloquium on, Houston, USA

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/s005000050009

Genetic 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.

Recombination strategy adaptation via evolution of gene linkage (1996)
Presentation / Conference
Smith, J., & Fogarty, T. (1996, June). Recombination strategy adaptation via evolution of gene linkage. Paper presented at Proceedings of the 1996 IEEE Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, USA