From evolutionary computation to the evolution of things

Eiben, Agoston E.; Smith, Jim

Abstract

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.

Citation

Eiben, A. E., & Smith, J. (2015). From evolutionary computation to the evolution of things. Nature, 521(7553), 476-482. https://doi.org/10.1038/nature14544

• 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
• DOI: https://doi.org/10.1038/nature14544
• Keywords: evolutionary computation
• Public URL: https://uwe-repository.worktribe.com/output/834089
• Publisher URL: http://dx.doi.org/10.1038/nature14544
• Additional Information: Additional Information : The final article is published in Nature (28 May 2015, 521, 7553, pp.476-482) found here: http://dx.doi.org/10.1038/nature14544