A fitness-independent evolvability measure for evolutionary developmental systems
Jin Y, Trommler J (2010)
In: 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE: 1-8.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Jin, YaochuUniBi 
;
Trommler, Jens
;
Trommler, JensAbstract / Bemerkung
Evolvability refers to the organisms ability to create heritable new phenotypes that potentially facilitate the organism's survival and reproduction. In this paper, a general evolvability measure for a computational model of evolutionary development is proposed. The measure is able to quantify individuals' evolvability, including robustness and innovation, independent of the fitness function of the evolutionary system. Empirical studies are performed to check the evolvability of individuals in in silico evolution of oscillatory behavior using the proposed evolvability measure. Our preliminary results suggest that evolvability of the developmental system can evolve without an explicit selection pressure on evolvability, confirming findings revealed in other artificial evolutionary systems.
Erscheinungsjahr
2010
Titel des Konferenzbandes
2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
Seite(n)
1-8
Konferenz
2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Konferenzort
Montreal, QC, Canada
ISBN
978-1-4244-6766-2
Page URI
https://pub.uni-bielefeld.de/record/2978606
Zitieren
Jin Y, Trommler J. A fitness-independent evolvability measure for evolutionary developmental systems. In: 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE; 2010: 1-8.
Jin, Y., & Trommler, J. (2010). A fitness-independent evolvability measure for evolutionary developmental systems. 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 1-8. IEEE. https://doi.org/10.1109/CIBCB.2010.5510475
Jin, Yaochu, and Trommler, Jens. 2010. “A fitness-independent evolvability measure for evolutionary developmental systems”. In 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 1-8. IEEE.
Jin, Y., and Trommler, J. (2010). “A fitness-independent evolvability measure for evolutionary developmental systems” in 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE), 1-8.
Jin, Y., & Trommler, J., 2010. A fitness-independent evolvability measure for evolutionary developmental systems. In 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE, pp. 1-8.
Y. Jin and J. Trommler, “A fitness-independent evolvability measure for evolutionary developmental systems”, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, IEEE, 2010, pp.1-8.
Jin, Y., Trommler, J.: A fitness-independent evolvability measure for evolutionary developmental systems. 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. p. 1-8. IEEE (2010).
Jin, Yaochu, and Trommler, Jens. “A fitness-independent evolvability measure for evolutionary developmental systems”. 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE, 2010. 1-8.
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