All Outputs (2058)

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.

Co-evolving functions in genetic programming: Dynamic ADF creation using GLiB (1998)
Book Chapter
Ahluwalia, M., & Bull, L. (1998). Co-evolving functions in genetic programming: Dynamic ADF creation using GLiB. In W. V. Porto, N. Saravanan, D. E. Waagen, & A. Eiben (Eds.), Proceedings of the 7th International Conference on Evolutionary Programming VII (809-818). London: Springer-Verlag

Coevolutionary computation: an introduction (1998)
Journal Article
Bull, L. (1998). Coevolutionary computation: an introduction

Agent technology is synonymous with advanced computer software and a growing body of work exists on the use of adaptive techniques within the agent paradigm (eg [Kozierok & Maes 1993]). The distributed and/or multi-faceted nature of complex problem d... Read More about Coevolutionary computation: an introduction.

Evolutionary computing in multi-agent environments: Operators (1998)
Conference Proceeding
Bull, L. (1998). Evolutionary computing in multi-agent environments: Operators. In V. W. Porto, N. Saravanan, D. Waagen, & A. E. Eiben (Eds.), In EP 1998: Evolutionary Programming VII. , (43-52). https://doi.org/10.1007/BFb0040758

This paper examines a key aspect of applying evolutionary computing techniques to multi-agent systems: a comparison in the performance of the genetic operators of mutation and recombination. Using the tuneable NKC model of multi-agent evolution it is... Read More about Evolutionary computing in multi-agent environments: Operators.

On ZCS in multi-agent environments (1998)
Conference Proceeding
Bull, L. (1998). On ZCS in multi-agent environments. In A. Eiben, T. Bäck, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature—PPSN V. , (471-480). https://doi.org/10.1007/BFb0056889

This paper examines the performance of the ZCS Michigan-style classifier system in multi-agent environments. Using an abstract multi-agent model the effects of varying aspects of the performance, reinforcement and discovery components are examined. I... Read More about On ZCS in multi-agent environments.

Self organising maps for the investigation of clinical data: A case study (1998)
Journal Article
Sharpe, P. K., & Caleb-Solly, P. (1998). Self organising maps for the investigation of clinical data: A case study. Neural Computing and Applications, 7(1), 65-70. https://doi.org/10.1007/BF01413710

The clinical process often involves comparisons of how one set of measurements is related to previous, similar, data and the use of this information to take decisions concerning possible courses of action, often with insufficient data to make meaning... Read More about Self organising maps for the investigation of clinical data: A case study.

A corporate classifier system (1998)
Conference Proceeding
Tomlinson, A., & Bull, L. (1998). A corporate classifier system. In A. E. Eiben, T. Bäck, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature—PPSN V. , (550-559). https://doi.org/10.1007/BFb0056897

Based on the proposals of Wilson and Goldberg we introduce a macro-level evolutionary operator which creates structural links between rules in the ZCS model and thus forms "corporations" of rules within the classifier system population. Rule co-depen... Read More about A corporate classifier system.

On the evolution of Eukaryotes (1997)
Presentation / Conference
Bull, L. (1997, October). On the evolution of Eukaryotes. Paper presented at Mathematical and computational biology: Computational morphogenesis, hierarchical complexity, and digital evolution: an international workshop, University of Aizu, Aizu-Wakamatsu City, Japan

Horizontal gene transfer in endosymbiosis (1997)
Book Chapter
Bull, L., & Fogarty, T. (1997). Horizontal gene transfer in endosymbiosis. In L. Bull (Ed.), Proceedings of the 5th International workshop on Artificial Life: Synthesis and simulation of living systems (77-84). Bradford book

Microprocessor design verification by two-phase evolution of variable length tests (1997)
Presentation / Conference
Smith, J., Bartley, M., & Fogarty, T. (1997, June). Microprocessor design verification by two-phase evolution of variable length tests. Paper presented at Proceedings of the 1997 IEEE Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, USA

Evolutionary computing in multi-agent environments: Eusociality (1997)
Presentation / Conference
Bull, L., & Holland, O. (1997, June). Evolutionary computing in multi-agent environments: Eusociality. Paper presented at Second Annual Conference on Genetic Programming

Evolutionary computing in multi-agent environments: Partners (1997)
Presentation / Conference
Bull, L. (1997, June). Evolutionary computing in multi-agent environments: Partners. Paper presented at Seventh International Conference on Genetic 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

Film sequence generation strategies for automatic intelligent video editing (1997)
Journal Article
Butler, S., & Parkes, A. (1997). Film sequence generation strategies for automatic intelligent video editing. Applied Artificial Intelligence, 11(4), 367-388. https://doi.org/10.1080/088395197118190

In this article, we describe an approach to generic automatic intelligent video editing, which was used in the implementation of the LIVE system. We discuss cinema theory and related systems that recombine film fragments into sequences. We introduce... Read More about Film sequence generation strategies for automatic intelligent video editing.

Model-based evolutionary computing: A neural network and genetic algorithm architecture (1997)
Presentation / Conference
Bull, L. (1997, April). Model-based evolutionary computing: A neural network and genetic algorithm architecture. Paper presented at Evolutionary Computation, 1997., IEEE International Conference on, Ashikaga Institute of Technology, Tochigi, Japan

Knowledge Tree: Putting discourse into computer-based learning (1997)
Journal Article
Brailsford, T., Davies, P., Scarborough, S., & Trewhella, W. (1997). Knowledge Tree: Putting discourse into computer-based learning. ALT-J, 5(1), 19-26. https://doi.org/10.1080/0968776970050104

Most CBL materials currently in use model only the declarative aspects of the learning process. If such courseware is used without careful planning, this can be dangerous because one of the most fundamental aspects of education is the dialogue that o... Read More about Knowledge Tree: Putting discourse into computer-based learning.

On the evolution of multicellularity (1997)
Book Chapter
Bull, L. (1997). On the evolution of multicellularity. In P. Husbands, & I. Harvey (Eds.), Fourth European Conference on Artificial Life [ECAL '97] (190-196). London: Cambridge

Smalltalk and object orientation: An introduction (1997)
Book
Hunt, J. (1997). Smalltalk and object orientation: An introduction. Springer

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.

Neural network based experimental design method and an industrial application (1996)
Journal Article
Öztemel, E., & Aydin, M. E. (1996). Neural network based experimental design method and an industrial application. Turkish Journal of Engineering and Environmental Sciences, 20(2), 73-78

It requires a great deal of expertise to satisfy customers under rapid technological changes in a highly competitive market. Quality should be taken into account not only in production lines but also during the design phase of the process. Especially... Read More about Neural network based experimental design method and an industrial application.