Integrated circuit optimization by means of evolutionary multi-objective optimization

Blesken MW, Chebil A, Rückert U, Esquivel X, Schuetze O (2011)
In: Proceedings of the 13th annual conference on Genetic and evolutionary computation. Association for Computing Machinery (Ed); ACM Digital Library. New York, NY, USA: ACM: 807-812.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Blesken, Matthias W.; Chebil, Anouar; Rückert, UlrichUniBi; Esquivel, Xavier; Schuetze, Oliver
herausgebende Körperschaft
Association for Computing Machinery
Abstract / Bemerkung
The design of resource efficient integrated circuits (ICs) requires solving a minimization problem which consists of more than one objective given as measures of the available resources. This multi-objective optimization problem (MOP) can be solved on the smallest unit of the IC, the standard cells, to improve the performance of the entire circuit. In this work, transistor sizing of an IC is approached via a multi-objective approach which includes the use of multi-objective evolutionary algorithms (MOEAs). We compare the performance of two MOEAs on a four-dimensional MOP of a particular standard cell. The results indicate that evolutionary strategies are suitable for the treatment of such problems and advantageous against other rather classical methods.
Stichworte
circuit design; multi-objective optimization; CMOS standard cells
Erscheinungsjahr
2011
Titel des Konferenzbandes
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Seite(n)
807-812
ISBN
978-1-4503-0557-0
Page URI
https://pub.uni-bielefeld.de/record/2551440

Zitieren

Blesken MW, Chebil A, Rückert U, Esquivel X, Schuetze O. Integrated circuit optimization by means of evolutionary multi-objective optimization. In: Association for Computing Machinery, ed. Proceedings of the 13th annual conference on Genetic and evolutionary computation. ACM Digital Library. New York, NY, USA: ACM; 2011: 807-812.
Blesken, M. W., Chebil, A., Rückert, U., Esquivel, X., & Schuetze, O. (2011). Integrated circuit optimization by means of evolutionary multi-objective optimization. In Association for Computing Machinery (Ed.), ACM Digital Library. Proceedings of the 13th annual conference on Genetic and evolutionary computation (pp. 807-812). New York, NY, USA: ACM. doi:10.1145/2001576.2001686
Blesken, M. W., Chebil, A., Rückert, U., Esquivel, X., and Schuetze, O. (2011). “Integrated circuit optimization by means of evolutionary multi-objective optimization” in Proceedings of the 13th annual conference on Genetic and evolutionary computation, Association for Computing Machinery ed. ACM Digital Library (New York, NY, USA: ACM), 807-812.
Blesken, M.W., et al., 2011. Integrated circuit optimization by means of evolutionary multi-objective optimization. In Association for Computing Machinery, ed. Proceedings of the 13th annual conference on Genetic and evolutionary computation. ACM Digital Library. New York, NY, USA: ACM, pp. 807-812.
M.W. Blesken, et al., “Integrated circuit optimization by means of evolutionary multi-objective optimization”, Proceedings of the 13th annual conference on Genetic and evolutionary computation, Association for Computing Machinery, ed., ACM Digital Library, New York, NY, USA: ACM, 2011, pp.807-812.
Blesken, M.W., Chebil, A., Rückert, U., Esquivel, X., Schuetze, O.: Integrated circuit optimization by means of evolutionary multi-objective optimization. In: Association for Computing Machinery (ed.) Proceedings of the 13th annual conference on Genetic and evolutionary computation. ACM Digital Library. p. 807-812. ACM, New York, NY, USA (2011).
Blesken, Matthias W., Chebil, Anouar, Rückert, Ulrich, Esquivel, Xavier, and Schuetze, Oliver. “Integrated circuit optimization by means of evolutionary multi-objective optimization”. Proceedings of the 13th annual conference on Genetic and evolutionary computation. Ed. Association for Computing Machinery. New York, NY, USA: ACM, 2011. ACM Digital Library. 807-812.
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