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. New York, NY, USA: ACM: 807-812.

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Abstract
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.
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Blesken MW, Chebil A, Rückert U, Esquivel X, Schuetze O. Integrated circuit optimization by means of evolutionary multi-objective optimization. In: Proceedings of the 13th annual conference on Genetic and evolutionary computation. 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. Proceedings of the 13th annual conference on Genetic and evolutionary computation, 807-812.
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 (New York, NY, USA: ACM), 807-812.
Blesken, M.W., et al., 2011. Integrated circuit optimization by means of evolutionary multi-objective optimization. In Proceedings of the 13th annual conference on Genetic and evolutionary computation. 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, 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. Proceedings of the 13th annual conference on Genetic and evolutionary computation. 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. New York, NY, USA: ACM, 2011. 807-812.
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