On Natural Life's Tricks to Survive and Evolve

Simple item page
dc.contributor.authorKursawe, Frankde
dc.contributor.authorSchwefel, Hans-Paulde
dc.date.accessioned2004-12-07T08:19:37Z
dc.date.available2004-12-07T08:19:37Z
dc.date.created1998de
dc.date.issued1998-11-08de
dc.description.abstractWhich are the fundamental principles of life? This is the main question to be addressed if one tries to create artifcial life on computers. Though it has been answered only partially, evolutionary algorithms are substantially contributing already to many kinds of human problem solving by means of virtual organisms. Besides looking back on that success story and extrapolating it a bit into the future - both endeavors obviously being subjective -, a new result will be presented in the following showing the importance of multicellularity, which helps to self-adapt the error rates of the replication step to what is needed for eficacious and efficient optimum seeking without individual learning.en
dc.format.extent304412 bytes
dc.format.extent479166 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/5347
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-8013
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesReihe Computational Intelligence ; 18de
dc.subjectbinary optimizationen
dc.subjectevolutionary algorithmsen
dc.subjectevolutionary computationen
dc.subjectevolution strategiesen
dc.subjectimitating lifeen
dc.subjectmulticellularityen
dc.subjectnatural computationen
dc.subjectontogenyen
dc.subjectphenotypic plasticityen
dc.subjectself-adaptive mutabilitiesen
dc.subjectsomatic mutationsen
dc.subject.ddc004de
dc.titleOn Natural Life's Tricks to Survive and Evolveen
dc.typeTextde
dc.type.publicationtypereport
dcterms.accessRightsopen access

Files

Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
CI1898_doc.ps
Size:
467.94 KB
Format:
Postscript Files
Download
Thumbnail Image
Name:
ci1898_doc.pdf
Size:
297.28 KB
Format:
Adobe Portable Document Format
Description:
DNB
Download

Collections

Sonderforschungsbereich (SFB) 531