From evolutionary computation to the evolution of things

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Eiben:2015:nature,

• author = "Agoston E. Eiben and Jim Smith",
• title = "From evolutionary computation to the evolution of things",
• journal = "Nature",
• year = "2015",
• volume = "521",
• number = "7553",
• pages = "476--482",
• month = "28 " # may,
• keywords = "genetic algorithms, genetic programming, Insight, Mathematics and computing, Computer science",
• publisher = "Nature Publishing Group, a division of Macmillan Publishers Limited",
• ISSN = "0028-0836",
• DOI = "doi:10.1038/nature14544",
• size = "7 pages",
• 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.",
• notes = "A little mention of GP",

}

Genetic Programming entries for Gusz Eiben James Smith

Citations