All Outputs (5)

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.

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.