Metamorphic systems: A new model for adaptive system design

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Greenwood, Garrison W ^a   Tyrrell, Andy M ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLVABLE HARDWARE; NEW MODEL; SYSTEM APPROACH; SYSTEM BEHAVIORS;

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; SYSTEMS ANALYSIS;

MATHEMATICAL MODELS;

EID: 79959454482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586381     Document Type: Conference Paper

References (11)

1. G. Greenwood and A. Tyrrell. Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems. John Wiley & Sons, 2006.
2. J. Lohn, W. Kraus, and D. Linden. Evolutionary optimization of a quadrifilar helical antenna. In IEEE Int'l Symp. Antennas and Propagation Society, pages 814-817, 2002.
3. J. Lohn, W. Kraus, and G. Hornby. Automated dsign of a MEMS resonator. In Proc. IEEE Congress on Evolutionary Computation, pages 3486-3491, 2007.
4. M. Oltean. Switchable glass: a possible medium for evolvable hardware. In Proc. 1st NASA/ESA Conf. on Adaptive Hdwe. & Sys., pages 81-87, 2006.
5. M. Lukac and M. Perkowski. Evolving quantum circuits using genetic algorithm. In Proc. NASA/DOD Conf. on Evolvable Hdwe., pages 177-185, 2002.
6. G. W. Greenwood. On the practicality of using intrinsic reconfiguration for fault recovery. IEEE Trans. Evol. Comput., 9(4):398-405, 2005.
7. K. Compton and S. Hauck. Reconfigurable computing: a survey of systems and software. ACM Comput. Surveys, 34(2):171-210, 2002.
8. D. Chakraborty and N. Pal. A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. IEEE Trans. Neural Ntwks., 15(1):110-123, 2004.
9. R. Tian, L. Ma, and M. Su. Electrically induced deflective amplification for adaptive sensing of chemicals. Appl. Phys. Lett., 94:103505-103507, 2009.
10. Nickolay V. Lavrik, Michael J. Sepaniak, and Panos G. Datskos. Cantilever transducers as a platform for chemical and biological sensors. Rev. Sci. Instr., 75(7):2229-2253, 2004.
11. C. Gosselin. Adaptive robotic mechanical systems: a design paradigm. J. Mech. Des., 128(1):192-198, 2006.