All Outputs (13)

Visualisation and categorisation of respiratory mechanism using self organising maps (2000)
Journal Article
Black, A. M., Caleb, P., Steuer, M., Caleb-Solly, P., Drummond, G. B., & Black, A. M. S. (2000). Visualisation and categorisation of respiratory mechanism using self organising maps. IEE Proceedings Science Measurement and Technology, 147(6), 339-344. https://doi.org/10.1049/ip-smt%3A20000856

In post-operative patients it is sometimes necessary to push morphine-like analgesics to their limits for pain relief. Unfortunately, this can sometimes bring a significant risk of disrupting the control of breathing, and of precipitating life-threat... Read More about Visualisation and categorisation of respiratory mechanism using self organising maps.

Dynamic job-shop scheduling using reinforcement learning agents (2000)
Journal Article
Aydin, M. E., Aydin, M. E., & Öztemel, E. (2000). Dynamic job-shop scheduling using reinforcement learning agents. Robotics and Autonomous Systems, 33(2), 169-178. https://doi.org/10.1016/S0921-8890%2800%2900087-7

Static and dynamic scheduling methods have attracted a lot of attention in recent years. Among these, dynamic scheduling techniques handle scheduling problems where the scheduler does not possess detailed information about the jobs, which may arrive... Read More about Dynamic job-shop scheduling using reinforcement learning agents.

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

Classification of surface defects on hot rolled steel using adaptive learning methods (2000)
Presentation / Conference
Caleb-Solly, P., & Steuer, M. (2000, June). Classification of surface defects on hot rolled steel using adaptive learning methods. Paper presented at Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, Brighton, UK

A memetic algorithm with self-adaptive local search: TSP as a case study (2000)
Presentation / Conference
Krasnogor, N., & Smith, J. (2000, June). A memetic algorithm with self-adaptive local search: TSP as a case study. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), Morgan Kaufmann, San Francisco, USA

A communication architecture for multi-agent learning systems (2000)
Book Chapter
Ireson, N., Cao, Y., Bull, L., & Miles, R. (2000). A communication architecture for multi-agent learning systems. In S. Cagnoni, R. Poli, G. D. Smith, D. Corne, M. Oates, E. Hart, …T. C. Fogarty (Eds.), Real-World Applications of Evolutionary Computing: EvoWorkshops 2000 (119-147). Springer

On meme-gene coevolution (2000)
Journal Article
Bull, L., Holland, O., & Blackmore, S. (2000). On meme-gene coevolution. Artificial Life, 6(3), 227-235. https://doi.org/10.1162/106454600568852

Self-adaptive mutation in ZCS controllers (2000)
Journal Article
Bull, L., & Hurst, J. (2000). Self-adaptive mutation in ZCS controllers. Lecture Notes in Artificial Intelligence, 1803, 339-346. https://doi.org/10.1007/3-540-45561-2_33

© Springer-Verlag Berlin Heidelberg 2000. The use and benefits of self-adaptive mutation operators are well-known within evolutionary computing. In this paper we examine the use of self-adaptive mutation in Michigan-style Classifier Systems with the... Read More about Self-adaptive mutation in ZCS controllers.

Self-adaptive mutation in classifier system controllers (2000)
Book Chapter
Bull, L., Hurst, J., & Tomlinson, A. (2000). Self-adaptive mutation in classifier system controllers. In J. Meyer, A. Berthoz, D. Floreano, H. L. Roitblat, & S. W. Wilson (Eds.), From Animals to Animats 6 (460-467). MIT Press

Distributed learning control of traffic signals (2000)
Journal Article
Bull, L., Cao, Y. J., Ireson, N., Bull, L., & Miles, R. (2000). Distributed learning control of traffic signals. Lecture Notes in Artificial Intelligence, 1803, 117-126. https://doi.org/10.1007/3-540-45561-2_12

© Springer-Verlag Berlin Heidelberg 2000. This paper presents a distributed learning control strategy for traffic signals. The strategy uses a fully distributed architecture in which there is effectively only one (low) level of control. Such strategy... Read More about Distributed learning control of traffic signals.

The unified process for practitioners: Object orientation, design, UML and java (2000)
Book
Hunt, J. (2000). The unified process for practitioners: Object orientation, design, UML and java. Springer

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