All Outputs (125)

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.

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.

Evolutionary computing in multi-agent environments: Speciation and symbiogenesis (1996)
Journal Article
Bull, L., Bull, L., & Fogarty, T. C. (1996). Evolutionary computing in multi-agent environments: Speciation and symbiogenesis. Lecture Notes in Artificial Intelligence, 1141, 12-21. https://doi.org/10.1007/3-540-61723-X_965

© 1996, Springer-Verlag. All rights reserved. In this paper we introduce two macro-level operators to enhance the use of population-based evolutionary computing techniques in multiagent environments: speciation and symbiogenesis. We describe their us... Read More about Evolutionary computing in multi-agent environments: Speciation and symbiogenesis.

A preliminary investigation into the analysis of electromyographic activity using a system of multiple neural networks (1995)
Journal Article
Caleb, P., Caleb-Solly, P., Sharpe, P. K., & Jones, R. (1995). A preliminary investigation into the analysis of electromyographic activity using a system of multiple neural networks. Lecture Notes in Artificial Intelligence, 934 LNAI, 439-440. https://doi.org/10.1007/3-540-60025-6_177

Electromyography (EMG) is widely used by clinicians and therapists for diagnosis of certain neuromuscular disorders. This paper describes a preliminary examination of the application of multiple neural networks in the analysis of surface electromyogr... Read More about A preliminary investigation into the analysis of electromyographic activity using a system of multiple neural networks.

Artificial endosymbiosis (1995)
Journal Article
Pipe, A. G., Bull, L., Bull, L., Fogarty, T. C., & Pipe, A. G. (1995). Artificial endosymbiosis. Lecture Notes in Artificial Intelligence, 929, 273-289. https://doi.org/10.1007/3-540-59496-5_305

© Springer-Verlag Berlin Heidelberg 1995. Symbiosis is the phenomenon in which organisms of different species live together in close association, resulting in a raised level of fitness for one or more of the organisms. Endosymbiosis is the name given... Read More about Artificial endosymbiosis.