Evolutionary Computing and Autonomic Computing: Shared Problems, Shared Solutions? | Zendy

A. E. Eiben | Zendy

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Evolutionary Computing and Autonomic Computing: Shared Problems, Shared Solutions?

Author(s) -

A. E. Eiben

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-26009-9

DOI - 10.1007/11428589_3

Subject(s) - autonomic computing , computer science , evolutionary algorithm , context (archaeology) , perspective (graphical) , evolutionary computation , end user computing , soft computing , ubiquitous computing , distributed computing , artificial intelligence , theoretical computer science , utility computing , cloud computing , human–computer interaction , artificial neural network , cloud computing security , paleontology , biology , operating system

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.

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