All Outputs (2058)

Self-adaptation in learning classifier systems (2000)
Report
Hurst, J., & Bull, L. (2000). Self-adaptation in learning classifier systems

Graphical analysis of respiration in postoperative patients using self organising maps (2000)
Book Chapter
Steuer, M., Caleb-Solly, P., Sharpe, P. K., Drummond, G. B., & Black, A. M. S. (2000). Graphical analysis of respiration in postoperative patients using self organising maps. In H. Malmgren, M. Borga, & L. Niklasson (Eds.), Artificial Neural Networks in Medicine and Biology: Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13–16 May 2000 (149-154). Springer. https://doi.org/10.1007/978-1-4471-0513-8_21

A zeroth level corporate classifier system (1999)
Presentation / Conference
Tomlinson, A., & Bull, L. (1999, June). A zeroth level corporate classifier system. Paper presented at Genetic and Evolutionary Computation Conference (GECCO’99)

On corporate classifier systems: Increasing the benefits of rule linkage (1999)
Presentation / Conference
Tomlinson, A., & Bull, L. (1999, June). On corporate classifier systems: Increasing the benefits of rule linkage. Paper presented at Genetic and Evolutionary Computation Conference (GECCO-99)

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

Replacement strategies in steady state genetic algorithms: Static environments (1999)
Presentation / Conference
Smith, J., & Vavak, F. (1999, June). Replacement strategies in steady state genetic algorithms: Static environments. 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

On using ZCS in a simulated continuous double-auction market (1999)
Presentation / Conference
Bull, L. (1999, June). On using ZCS in a simulated continuous double-auction market. Paper presented at Genetic and Evolutionary Computation Conference (GECCO-99)

A genetic programming-based classifier system (1999)
Presentation / Conference
Ahluwalia, M., Bull, L., & Banzhaf, W. (1999, June). A genetic programming-based classifier system. Paper presented at Genetic and Evolutionary Computation Conference (GECCO-99)

Accuracy-based neuro and neuro-fuzzy classifier systems (1999)
Presentation / Conference
Bull, L., & O’Hara, T. (1999, June). Accuracy-based neuro and neuro-fuzzy classifier systems. Paper presented at Genetic and Evolutionary Computation Conference (GECCO-99)

On evolving social systems: Communication, speciation and symbiogenesis (1999)
Journal Article
Bull, L. (1999). On evolving social systems: Communication, speciation and symbiogenesis. Computational and Mathematical Organization Theory, 5(3), 281-302. https://doi.org/10.1023/A%3A1009642524130

On model-based evolutionary computation (1999)
Journal Article
Bull, L. (1999). On model-based evolutionary computation. Soft Computing, 3(2), 76-82. https://doi.org/10.1007/s005000050055

On the Baldwin effect (1999)
Journal Article
Bull, L. (1999). On the Baldwin effect. Artificial Life, 5(3), 241-246. https://doi.org/10.1162/106454699568764

In this article the effects of altering the rate and amount of learning on the Baldwin effect are examined. Using a version of the abstract tunable NK model, it is shown that the adaptation process is sensitive to the rate of learning, particularly a... Read More about On the Baldwin effect.

On the evolution of eukaryotes: Computational models of symbiogenesis and multicellularity (1999)
Journal Article
Bull, L. (1999). On the evolution of eukaryotes: Computational models of symbiogenesis and multicellularity. Lectures on Mathematics in the Life Sciences, 31-46

On the evolution of multicellularity and eusociality (1999)
Journal Article
Bull, L. (1999). On the evolution of multicellularity and eusociality. Artificial Life, 5(1), 1-15. https://doi.org/10.1162/106454699568656

In this article versions of the abstract NKC model are used to examine the conditions under which two significant evolutionary phenomena - multicellularity and eusociality - are likely to occur and why. First, comparisons in evolutionary performance... Read More about On the evolution of multicellularity and eusociality.

Design of a traffic junction controller using classifier system and fuzzy logic (1999)
Journal Article
Cao, Y. J., Ireson, N., Bull, L., & Miles, R. (1999). Design of a traffic junction controller using classifier system and fuzzy logic. Lecture Notes in Artificial Intelligence, 1625, 342-353. https://doi.org/10.1007/3-540-48774-3_40

© Springer-Verlag Berlin Heidelberg 1999. Traffic control in laige cities is a difficult and non-trivial optimization problem. Most of the automated urban traffic control systems aie based on deterministic algorithms and have a multi-level architectu... Read More about Design of a traffic junction controller using classifier system and fuzzy logic.

Java for practitioners: An introduction to object orientation and java (1999)
Book
Hunt, J. (1999). Java for practitioners: An introduction to object orientation and java. Springer

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

Essential JavaBeans fast (1998)
Book
Hunt, J. (1998). Essential JavaBeans fast. Springer London. https://doi.org/10.1007/978-1-4471-0623-4

Java and Object Orientation: An Introduction (1998)
Book
Hunt, J. (1998). Java and Object Orientation: An Introduction. Springer London. https://doi.org/10.1007/978-1-4471-3380-3