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All Outputs (18)

Verbal and nonverbal elicitation techniques in the subjective assessment of spatial sound reproduction (2001)
Journal Article
Mason, R., Ford, N., Rumsey, F., & De Bruyn, B. (2001). Verbal and nonverbal elicitation techniques in the subjective assessment of spatial sound reproduction. Journal of the Audio Engineering Society, 49, 366--384

Current research into spatial audio has shown an increasing interest in the way subjective attributes of reproduced sound are elicited from listeners. The emphasis at present is on verbal semantics, however, studies suggest that nonverbal methods of... Read More about Verbal and nonverbal elicitation techniques in the subjective assessment of spatial sound reproduction.

Provision of a web based decision support system for wing box tooling (2001)
Presentation / Conference
Hale, P., Scanlan, J., Hill, T., Nour, M., Bru, C., Jocelyn, A., …Dunkley, M. (2001, June). Provision of a web based decision support system for wing box tooling. Paper presented at ICE 2001 (International Conference on Concurrent Enterprising), Bremen, Germany

The ACES (Aerospace Cost Engineering Systems) team at UWE has been engaged in developing cost models to the aerospace industry for a number of years. These models range from large spreadsheet based tools to knowledge based systems. The work describe... Read More about Provision of a web based decision support system for wing box tooling.

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

Towards a framework to effective web-based distributed learning (2001)
Presentation / Conference
Brailsford, T. J., Moore, A., Stewart, C. D., Zakaria, M. R., Choo, B. S., & Davies, P. M. (2001, May). Towards a framework to effective web-based distributed learning. Poster presented at Tenth International World Wide Web Conference, Hong Kong, China

Developing web-based learning materials gives rise to a number of pedagogic problems. Learners are highly diverse in respect to their pedagogical requirements, and the implementation of an effective web-based learning strategy must avoid placing a he... Read More about Towards a framework to effective web-based distributed learning.

Simple models of coevolutionary genetic algorithms (2001)
Journal Article
Bull, L. (2001). Simple models of coevolutionary genetic algorithms. Artificial Life and Robotics, 5(1), 58-66. https://doi.org/10.1007/BF02481321

The use of evolutionary computing techniques in coevolutionary/multiagent systems is becoming increasingly popular. This paper presents some simple models of the genetic algorithm in such systems, with the aim of examining the effects of different ty... Read More about Simple models of coevolutionary genetic algorithms.

A self-adaptive classifier system (2001)
Conference Proceeding
Hurst, J., & Bull, L. (2001). A self-adaptive classifier system. In P. L. Lanzi, W. Stolzmann, & S. W. Wilson (Eds.), Advances in Learning Classifier Systems. , (70-79). https://doi.org/10.1007/3-540-44640-0_6

© Springer-Verlag Berlin Heidelberg 2001. The use and benefits of self-adaptive parameters, particularly mutation, are well-known within evolutionary computing. In this paper we examine the use of parameter self-adaptation in Michigan-style Classifie... Read More about A self-adaptive classifier system.

Simple Markov models of the genetic algorithm in classifier systems: multi-step tasks (2001)
Journal Article
Bull, L. (2001). Simple Markov models of the genetic algorithm in classifier systems: multi-step tasks. Lecture Notes in Artificial Intelligence, 1996, 29-36

Abstract Michigan-style Classifier Systems use Genetic Algorithms to facilitate rule discovery. This paper presents a simple Markov model of the algorithm in such systems, with the aim of examining the effects of different types of interdependence be... Read More about Simple Markov models of the genetic algorithm in classifier systems: multi-step tasks.

Coevolving functions in genetic programming (2001)
Journal Article
Ahluwalia, M., & Bull, L. (2001). Coevolving functions in genetic programming. Journal of Systems Architecture, 47(7), 573-585. https://doi.org/10.1016/S1383-7621%2801%2900016-9

In this paper we introduce a new approach to the use of automatically defined functions (ADFs) within genetic programming. The technique consists of evolving a number of separate sub-populations of functions which can be used by a population of evolv... Read More about Coevolving functions in genetic programming.