Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators
Thomas SA, Jin Y (2013)
In: Evolutionary Multi-Criterion Optimization. Purshouse RC, Fleming PJ, Fonseca CM, Greco S, Shaw J (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 696-709.
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| Veröffentlicht | Englisch
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Autor*in
Thomas, Spencer Angus;
Jin, YaochuUniBi 
Herausgeber*in
Purshouse, Robin C.;
Fleming, Peter J.;
Fonseca, Carlos M.;
Greco, Salvatore;
Shaw, Jane
Abstract / Bemerkung
We compare the ability of single and multi-objective evolutionary algorithms to evolve tunable self-sustained genetic oscillators. Our research is focused on the influence of objective setup on the success rate of evolving self-sustained oscillations and the tunability of the evolved oscillators. We compare temporal and frequency domain fitness functions for single and multi-objective evolution of the parameters in a three-gene genetic regulatory network. We observe that multiobjectivization can hinder convergence when decomposing a period specific based single objective setup in to a multi-objective setup that includes a frequency specific objective. We also find that the objective decomposition from a frequency specified single objective setup to a multi-objective setup, which also specifies period, enable the synthesis of oscillatory dynamics. However this does not help to enhance tunability. We reveal that the use of a helper function in the frequency domain improves the tunability of the oscillators, compared to a time domain based single objective, even if no desired frequency is specified.
Erscheinungsjahr
2013
Buchtitel
Evolutionary Multi-Criterion Optimization
Serientitel
Lecture Notes in Computer Science
Seite(n)
696-709
ISBN
978-3-642-37139-4
eISBN
978-3-642-37140-0
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2978576
Zitieren
Thomas SA, Jin Y. Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In: Purshouse RC, Fleming PJ, Fonseca CM, Greco S, Shaw J, eds. Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg; 2013: 696-709.
Thomas, S. A., & Jin, Y. (2013). Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In R. C. Purshouse, P. J. Fleming, C. M. Fonseca, S. Greco, & J. Shaw (Eds.), Lecture Notes in Computer Science. Evolutionary Multi-Criterion Optimization (pp. 696-709). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-37140-0_52
Thomas, Spencer Angus, and Jin, Yaochu. 2013. “Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators”. In Evolutionary Multi-Criterion Optimization, ed. Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, and Jane Shaw, 696-709. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg.
Thomas, S. A., and Jin, Y. (2013). “Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators” in Evolutionary Multi-Criterion Optimization, Purshouse, R. C., Fleming, P. J., Fonseca, C. M., Greco, S., and Shaw, J. eds. Lecture Notes in Computer Science (Berlin, Heidelberg: Springer Berlin Heidelberg), 696-709.
Thomas, S.A., & Jin, Y., 2013. Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In R. C. Purshouse, et al., eds. Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 696-709.
S.A. Thomas and Y. Jin, “Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators”, Evolutionary Multi-Criterion Optimization, R.C. Purshouse, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp.696-709.
Thomas, S.A., Jin, Y.: Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., and Shaw, J. (eds.) Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. p. 696-709. Springer Berlin Heidelberg, Berlin, Heidelberg (2013).
Thomas, Spencer Angus, and Jin, Yaochu. “Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators”. Evolutionary Multi-Criterion Optimization. Ed. Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, and Jane Shaw. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Lecture Notes in Computer Science. 696-709.
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