Abstract
With the progress of science and technology, the existing electronic system is developing to complication and miniaturization, this requires that the system has high reliability and low resource consumption. Embryonic electronic cell array (EECA) is a new kind of circuit structure based on the embryonic evolution of biology, with the feature of self-organization, self-healing and self-adaptive. Compared with traditional circuit design method of electronic system, the electronic system implemented with EECA has higher reliability, however, it also means more hardware resource consumption. In this paper, the function circuit is implemented by EECA, and it’s consumption of electric cell is presented by matrix. In order to optimize the consumption of embryonic cells, the genetic algorithms (GA) is utilized, through the optimization of circuit design is optimized, the hardware resource consumption of the circuit is reduced. Through the study of the optimization design of a typical circuit, both the hardware resource consumption and the reliability of the system have improved a lot, compared with the traditional design method,which has great engineering application value.
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References
Wang, Y.R., Cui, J., You, X.: Theory and technology development of bio-inspired hardware. Chin. Space Sci. Technol. 2004(6), 32–42 (2004)
Ortega, C., Tyrrell, A.: Biologically inspired reconfigurable hardware for dependable applications. In: Proceedings of the 1997 IEE Colloquium on Hardware Systems for Dependable Applications, pp. 1–4 (1997)
Mange, D., Sanchez, E., Stauffer, A., et al.: Embryonics: a new methodology for designing field-programmable gate arrays with self-repair and self-replicationg properties. IEEE Trans Very Large Scale Integr. (VLSI) Syst. 6(3), 387–399 (1998)
Canham, R.O., Tyrrell, A.M.: Hardware artificial immune system and embryonic array for fault tolerant systems. Genet. Program Evolvable Mach. 4(4), 359–382 (2003)
Yao, R., Wang, Y., Yu, S.: Research on embryonic system and its key technologies. J. Luoyang Inst. Technol. 26(3), 33–36 (2005)
Rong, H., Yu, C.: FPGA validation based on embryonic arrays fault-tolerant system. J. Fudan Univ. (Nat. Sci.) 45(1), 127–130 (2006)
Samie, M., Dragffy, G., Popescu, A.: Prokaryotic bio-inspired system. In: Proceedings of the Forth NASA/ESA Conference on Adaptive Hardware and Systems, pp. 171–178 (2009)
Wang, N.: Research of Self-healing Technique Based on Prokaryotic Bio-inspired Array. National University of Defense Technology, Changsha (2011)
Li, T.-P.: Research on Bio-inspired Self-repairing Technology Based on Bus Structure. National University of Defense Technology, Changsha (2012)
Sai, Z., Jinyan, C., Yafeng, M., et al.: A novel structure of embryonics electronic cell array. WSEAS Trans. Circuits Syst. 13(10), 224–232 (2014)
Zhang, Z., Wang, Y.R.: Method to self-repairing reconfiguration strategy selection of embryonic cellular array on reliability analysis. In: 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), pp. 225–232 (2014)
Micheal, G., Arunachalam, A.R.: Design of an efficient self-repairing system. Middle-East J. Sci. Res. 19(10), 1284–1289 (2014)
Wang, N.T., Qian, Y.L., Li, Y.: Design method for a multi-layer bio-inspired self-healing hardware. In: Prognostics and System Health Management Conference (PHM 2014), Hunan, pp. 653–657 (2014)
Tempesti, G., Mange, D., Stauffer, A., et al.: The bioWall: an electronic tissue for prototyping bio-inspired systems. In: Proceedings 2002 NASA/DoD Conference on Evolvable Hardware, pp. 221–230 (2002)
Stauffer, A., Mange, D., Tempesti, G., Teuscher, C.: A self-repairing and self-healing electronic watch: the biowatch. In: Liu, Y., Tanaka, K., Iwata, M., Iwata, M., Higuchi, T., Yasunaga, M. (eds.) ICES 2001. LNCS, vol. 2210, pp. 112–127. Springer, Heidelberg (2001)
Tyrrell, A.M., Sánchez, E., Floreano, D., Tempesti, G., Mange, D., Moreno, O., Rosenberg, A.L., Villa, A.E.: POEtic tissue: an integrated architecture for bio-inspired hardware. In: Tyrrell, A.M., Haddow, P.C., Torresen, J. (eds.) ICES 2003. LNCS, vol. 2606, pp. 129–140. Springer, Heidelberg (2003)
Upegui, A., Thoma, Y., Satizábal, H.F., Mondada, F., Rétornaz, P., Perez-Uribe, A., Graf, Y., Sanchez, E.: Ubichip, ubidule, and marxbot: a hardware platform for the simulation of complex systems. In: Tempesti, G., Tyrrell, A.M., Miller, J.F. (eds.) ICES 2010. LNCS, vol. 6274, pp. 286–298. Springer, Heidelberg (2010)
Xu, J.: Research on Bio-inspired Self-adaptive Multicellular Array Architecture. National University of Defense Technology, Changsha (2012)
Mange, D., Sanchez, E., Stauffer, A.: Embryonics: a new methodology for designing field-programmable gate arrays with self-repair and self-replicating properties. IEEE Trans. Very Large Scale Integr. (VLSI) 6(3), 387–399 (1998)
Wang, N., Qian, Y., Li, Y., et al.: Study of embryonic type on-line self-healing FIR filters. Chin. J. Sci. Instrum. 33(6), 1385–1391 (2012)
Zhou, G., Qian, Y., Wang, N., et al.: Design and simulation of FIR filters based on embryonic bio-inspired hardware architecture. J. Electron. Meas. Instrument. 24((Suppl.)), 61–65 (2010)
Wang, N.: Research of Self-healing Technique Based on Prokaryotic Bio-inspired Array. National University of Defense Technology, Changsha (2011)
Wang, J., Zhang, Q., Liang, L.: Adaptive stochastic resonance based on genetic algorithm with applications in weak signal detection adaptive stochastic resonance based on genetic algorithm with applications in weak signal detection. J. Xi’an Jiaotong Univ. 3(44), 32–36 (2010)
Pan, Z., Kang, L., Chen, Y.: Evolutionary Computation. Tsinghua University Press, BeiJing (1998)
Solteiro Pires, E.J., Tenreiro Machado, J.A., de Moura Oliveira, P.B.: Dynamical modeling of a genetic algorithm. Sig. Process. 86(10), 2760–2770 (2006)
Zhu, S., Cai, J., Meng, Y., et al.: A novel structure of embryonics electronic cell array. WSEAS Trans. Circ. Syst. 13(10), 224–232 (2014)
Zhang, W.: Hardware evolution based on evolutionary algorithm. Nanjing University of Science and Technology, Nanjing (2008)
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Wang, T., Cai, J., Meng, Y. (2015). Embryonic Electronic Circuit Optimization Design Method Based on Genetic Algorithm. In: Zhang, X., Wu, Z., Sha, X. (eds) Embedded System Technology. ESTC 2015. Communications in Computer and Information Science, vol 572. Springer, Singapore. https://doi.org/10.1007/978-981-10-0421-6_9
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DOI: https://doi.org/10.1007/978-981-10-0421-6_9
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