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From evolutionary computation to the evolution of things

Eiben, Agoston E.; Smith, Jim


Agoston E. Eiben

Jim Smith
Professor in Interactive Artificial Intelligence


Evolution has provided a source of inspiration for algorithm designers since the birth of computers. The resulting field, evolutionary computation, has been successful in solving engineering tasks ranging in outlook from the molecular to the astronomical. Today, the field is entering a new phase as evolutionary algorithms that take place in hardware are developed, opening up new avenues towards autonomous machines that can adapt to their environment. We discuss how evolutionary computation compares with natural evolution and what its benefits are relative to other computing approaches, and we introduce the emerging area of artificial evolution in physical systems.


Eiben, A. E., & Smith, J. (2015). From evolutionary computation to the evolution of things. Nature, 521(7553), 476-482.

Journal Article Type Article
Publication Date May 28, 2015
Journal Nature
Print ISSN 0028-0836
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 521
Issue 7553
Pages 476-482
Keywords evolutionary computation
Public URL
Publisher URL
Additional Information Additional Information : The final article is published in Nature (28 May 2015, 521, 7553, pp.476-482) found here:


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