A fitness-independent evolvability measure for evolutionary developmental systems
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Jin, Y and Trommler, J (2010) A fitness-independent evolvability measure for evolutionary developmental systems In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010-05-02 - ?, Montreal.
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Official URL: http://dx.doi.org/10.1109/CIBCB.2010.5510475
Abstract
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.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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| Additional Information: | Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Divisions: | Faculty of Engineering and Physical Sciences > Computing Science |
| ID Code: | 7611 |
| Deposited By: | Symplectic Elements |
| Deposited On: | 14 Dec 2011 13:15 |
| Last Modified: | 16 Feb 2013 15:37 |
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