Abstract
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 codependencies influence both the behaviour of the discovery components of the system and the production system, where a corporation can take control for a number of time-steps. The system is compared to ZCS and also ZCSM in a number of maze environments which include Woods 1 and Woods 7. The corporate classifier system is shown to be the most suitable design to tackle a range of these types of problems.
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References
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Tomlinson, A., Bull, L. (1998). A corporate classifier system. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056897
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DOI: https://doi.org/10.1007/BFb0056897
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