Optimization of a Cascading TMR system configuration using Genetic Algorithm
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[1] Minoru Watanabe,et al. A Double or Triple Module Redundancy Model Exploiting Dynamic Reconfigurations , 2008, 2008 NASA/ESA Conference on Adaptive Hardware and Systems.
[2] T. C. Fogarty,et al. Adaptive classification and control-rule optimisation via a learning algorithm for controlling a dynamic system , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.
[3] R. Ramaswami,et al. Book Review: Design and Analysis of Fault-Tolerant Digital Systems , 1990 .
[4] Gilbert Syswerda,et al. Uniform Crossover in Genetic Algorithms , 1989, ICGA.
[5] Tatsuhiro Tsuchiya,et al. Finding the Optimal Configuration of a Cascading TMR System , 2008, 2008 14th IEEE Pacific Rim International Symposium on Dependable Computing.
[6] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[7] Zbigniew Michalewicz,et al. An Experimental Comparison of Binary and Floating Point Representations in Genetic Algorithms , 1991, ICGA.
[8] Yan Lin,et al. Device and architecture concurrent optimization for FPGA transient soft error rate , 2007, ICCAD 2007.
[9] Barry W. Johnson. Design & analysis of fault tolerant digital systems , 1988 .
[10] Kalyanmoy Deb,et al. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.
[11] Sumio Matsuda,et al. Single-event effects in 0.18 /spl mu/m CMOS commercial processes , 2003 .
[12] P. Ribeiro,et al. Radiation test results on first silicon in the design against radiation effects (DARE) library , 2005, IEEE Transactions on Nuclear Science.