Evolutionary computing and autonomic computing: shared problems, shared solutions?

Authors:
A. E. Eiben
Affiliations:
Vrije Universiteit Amsterdam
Venue:
Self-star Properties in Complex Information Systems
Year:
2005

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Abstract

The purpose of this paper is to present evolutionary computing (EC) and to identify a number of issues where EC and autonomic computing, a.k.a. self-*, are mutually relevant for each other. We show that Evolutionary Algorithms (EA) form a metaheuristic that can be used to tackle the problem of self-optimisation in autonomic systems and suggest that an evolutionary approach can also help solving other challenges in autonomic computing. Meanwhile, an evolving system can be seen as a special case of an autonomic system. From this perspective, the quest for parameterless EAs can be positioned in a broader context and it can be expected that some solutions invented within autonomic computing can be transferred to EC.