EHW from Consumer Point of View: Consumer-Triggered Evolution
Evolvable Hardware (EHW) has been regarded as adaptive system acquired by wide application market. Consumer market of any good requires diversity to satisfy consumers- preferences. Adaptation of EHW is a key technology that could provide individual approach to every particular user. This situation raises a question: how to set target for evolutionary algorithm? The existing techniques do not allow consumer to influence evolutionary process. Only designer at the moment is capable to influence the evolution. The proposed consumer-triggered evolution overcomes this problem by introducing new features to EHW that help adaptive system to obtain targets during consumer stage. Classification of EHW is given according to responsiveness, imitation of human behavior and target circuit response. Home intelligent water heating system is considered as an example.
[1] T. Back, D. B. Fogel. Z. Michalewicz, "Handbook of evolutionary
computation", Institute of Physics, Publishing, Bristol UK and Oxford
University Press, Philadelphia PA, 1997. (New edition: Vol. 1 and 2,
Institute of Physics Publishing, Bristol UK, 2000).
[2] J. Torresen, "A dynamic fitness function applied to improve the
generalisation when evolving a signal processing hardware
architecture", in Proc. of Fourth European Workshop on Evolutionary
Computation in Image Analysis and Signal Processing (EvoIASP2002),
Springer LNCS 2279, pp. 267-279, April 2002, Kinsale, Ireland.
[3] X. Yao, Tetsuya Higuchi, "Promises and challenges of evolvable
hardware", IEEE Transactions on systems, man, and cyberneticsÔÇöpart
C: application and reviews, vol. 29, No 1, February 1999.
[4] A. Stoica, "Evolvable hardware for autonomous systems", in tutorials
given at the Congress on Evolutionary Computation CEC-03, p. 132,
2003.
[5] L. Sekanina, V. Drabek, "Theory and applications of evolvable
embedded systems", in Proc. of the 11th IEEE Int. Conference and
Workshop on the Engineering of Computer-Based Systems, Los
Alamitos, CA, US, ICSP, 2004, pp. 186-193.
[6] Z. Michalewicz, R. Hinterding, and M. Michalewicz, "Evolutionary
algorithms", Chapter 2 in Fuzzy Evolutionary Computation, W. Pedrycz
(editor), Kluwer Academic, 1997.
[7] M. Towsey, A. Brown, S. Wright, J. Diederich. Towards Melodic
Extension Using Genetic Algorithms, Educational Technology & Society
4(2) 2001.
[8] E. Uchibe, M. Yanase, M. Asada, "Behavior generation for a mobile
robot based on the adaptive fitness function", Robotics and Autonomous
Systems 40, 2002, pp.69-77.
[9] A. Stoica, R. Zebulum, D. Keymeulen, M. Ferguson, X. Guo, "On two
new trends in evolvable hardware: employment of HDL-based
structuring, and design of multi-fuctional circuits", page 56-59. 2002
NASA/DoD Conference on Evolvable Hardware, Alexandria, Virginia,
USA, July 15-18, 2002, IEEE Computer Society.
[10] G. Buason, N. Bergfeldt, & T. Ziemke, (in press), "Brains, Bodies and
Beyond: Competitive Co-Evolution of Robot Controllers, Morphologies
and Environments", Genetic Programming and Evolvable Machines, to
appear.
[11] T. Kalganova, "Bidirectional incremental evolution in extrinsic
evolvable hardware", Proceedings of the 2nd NASA/DoD workshop on
Evolvable Hardware, p.65, July 13-15, 2000.
[12] M. Love, K. R. Sorensen, J. Larsen, J. Clausen, "Disruption
management for an airline - rescheduling of aircraft". In Applications
of Evolutionary Computing, EvoWorkshops 2002, Vol. 2279 of LNCS,
pp. 315-324. Springer-Verlag, 2002.
[13] S. Nolfi & D. Floreano (1998 copyright 1999), "Co-evolving predator
and prey robots: Do 'arm races' arise in artificial evolution?", Artificial
Life, 4 (4), 311-335.
[14] M. Tanaka, H. Sakanashi, M. Salami, M. Iwata, T. Kurita, T. Higuchi,
"Data compression for digital color electrophotographic printer with
evolvable hardware", in Proc. of the 2nd Int. Conf. on Evolvable
Systems: From Biology to Hardware ICES-98, Vol. 1478 of LNCS, pp.
106-114, Lausanne, Switzerland, 1998. Springer-Verlag.
[15] L. Sekanina, "Evolvable components: from theory to hardware
implementations", Natural Computing Series, Springer Verlag, 2004.
[16] M. Wahde, "Evolutionary robotics: the use of artificial evolution in
robotics", tutorial presented at IROS 2004, Sendai, Japan.
[17] A. Thompson, P. Layzell, R. S. Zebulum, "Explorations in design
space: unconventional electronics design through artificial evolution",
IEEE Transactions on Evolutionary Computation, Special Issue in
"Evolvable Hardware", Moshe Sipper (Ed), pp.167-196, Vol.3, N.3,
September, 1999.
[18] E. Damiani, V. Liberali, and A. Tettamanzi, "Dynamic optimisation of
non-linear feed-forward circuits", in Proc. of the 3rd Int. Conf. on
Evolvable Systems: From Biology to Hardware ICES-00, Vol. 1801 of
LNCS, pp. 41-50, Edinburgh, Scotland, UK, 2000. Springer-Verlag.
[19] D. Keymeulen, M. Iwata, Y. Kuniyoshi, T. Higuchi, "Comparison
between an off-line model-free and an on-line model-based evolution
applied to a robotics navigation system using evolvable hardware", in
Proc. of the 6th Int. Conf. on Artificial Life, pp. 199-208, 1998.
[20] J. Torresen, J. Bakke, L. Sekanina, "Recognizing speed limit sign
numbers by evolvable hardware", in Proc. of the 8th Int. Conf. on
Parallel Problem Solving from Nature (PPSN VIII), Berlin, DE,
Springer, 2004, pp. 682-691.
[21] R. S. Zebulum, A. Stoica, D. Keymeulen, "Experiments on the evolution
of digital to analog converters", published in the Proceedings of the
2001 IEEE Aerospace Conference, March 10-17 2001, Big Sky,
Montana , USA . Manhattan Beach.
[1] T. Back, D. B. Fogel. Z. Michalewicz, "Handbook of evolutionary
computation", Institute of Physics, Publishing, Bristol UK and Oxford
University Press, Philadelphia PA, 1997. (New edition: Vol. 1 and 2,
Institute of Physics Publishing, Bristol UK, 2000).
[2] J. Torresen, "A dynamic fitness function applied to improve the
generalisation when evolving a signal processing hardware
architecture", in Proc. of Fourth European Workshop on Evolutionary
Computation in Image Analysis and Signal Processing (EvoIASP2002),
Springer LNCS 2279, pp. 267-279, April 2002, Kinsale, Ireland.
[3] X. Yao, Tetsuya Higuchi, "Promises and challenges of evolvable
hardware", IEEE Transactions on systems, man, and cyberneticsÔÇöpart
C: application and reviews, vol. 29, No 1, February 1999.
[4] A. Stoica, "Evolvable hardware for autonomous systems", in tutorials
given at the Congress on Evolutionary Computation CEC-03, p. 132,
2003.
[5] L. Sekanina, V. Drabek, "Theory and applications of evolvable
embedded systems", in Proc. of the 11th IEEE Int. Conference and
Workshop on the Engineering of Computer-Based Systems, Los
Alamitos, CA, US, ICSP, 2004, pp. 186-193.
[6] Z. Michalewicz, R. Hinterding, and M. Michalewicz, "Evolutionary
algorithms", Chapter 2 in Fuzzy Evolutionary Computation, W. Pedrycz
(editor), Kluwer Academic, 1997.
[7] M. Towsey, A. Brown, S. Wright, J. Diederich. Towards Melodic
Extension Using Genetic Algorithms, Educational Technology & Society
4(2) 2001.
[8] E. Uchibe, M. Yanase, M. Asada, "Behavior generation for a mobile
robot based on the adaptive fitness function", Robotics and Autonomous
Systems 40, 2002, pp.69-77.
[9] A. Stoica, R. Zebulum, D. Keymeulen, M. Ferguson, X. Guo, "On two
new trends in evolvable hardware: employment of HDL-based
structuring, and design of multi-fuctional circuits", page 56-59. 2002
NASA/DoD Conference on Evolvable Hardware, Alexandria, Virginia,
USA, July 15-18, 2002, IEEE Computer Society.
[10] G. Buason, N. Bergfeldt, & T. Ziemke, (in press), "Brains, Bodies and
Beyond: Competitive Co-Evolution of Robot Controllers, Morphologies
and Environments", Genetic Programming and Evolvable Machines, to
appear.
[11] T. Kalganova, "Bidirectional incremental evolution in extrinsic
evolvable hardware", Proceedings of the 2nd NASA/DoD workshop on
Evolvable Hardware, p.65, July 13-15, 2000.
[12] M. Love, K. R. Sorensen, J. Larsen, J. Clausen, "Disruption
management for an airline - rescheduling of aircraft". In Applications
of Evolutionary Computing, EvoWorkshops 2002, Vol. 2279 of LNCS,
pp. 315-324. Springer-Verlag, 2002.
[13] S. Nolfi & D. Floreano (1998 copyright 1999), "Co-evolving predator
and prey robots: Do 'arm races' arise in artificial evolution?", Artificial
Life, 4 (4), 311-335.
[14] M. Tanaka, H. Sakanashi, M. Salami, M. Iwata, T. Kurita, T. Higuchi,
"Data compression for digital color electrophotographic printer with
evolvable hardware", in Proc. of the 2nd Int. Conf. on Evolvable
Systems: From Biology to Hardware ICES-98, Vol. 1478 of LNCS, pp.
106-114, Lausanne, Switzerland, 1998. Springer-Verlag.
[15] L. Sekanina, "Evolvable components: from theory to hardware
implementations", Natural Computing Series, Springer Verlag, 2004.
[16] M. Wahde, "Evolutionary robotics: the use of artificial evolution in
robotics", tutorial presented at IROS 2004, Sendai, Japan.
[17] A. Thompson, P. Layzell, R. S. Zebulum, "Explorations in design
space: unconventional electronics design through artificial evolution",
IEEE Transactions on Evolutionary Computation, Special Issue in
"Evolvable Hardware", Moshe Sipper (Ed), pp.167-196, Vol.3, N.3,
September, 1999.
[18] E. Damiani, V. Liberali, and A. Tettamanzi, "Dynamic optimisation of
non-linear feed-forward circuits", in Proc. of the 3rd Int. Conf. on
Evolvable Systems: From Biology to Hardware ICES-00, Vol. 1801 of
LNCS, pp. 41-50, Edinburgh, Scotland, UK, 2000. Springer-Verlag.
[19] D. Keymeulen, M. Iwata, Y. Kuniyoshi, T. Higuchi, "Comparison
between an off-line model-free and an on-line model-based evolution
applied to a robotics navigation system using evolvable hardware", in
Proc. of the 6th Int. Conf. on Artificial Life, pp. 199-208, 1998.
[20] J. Torresen, J. Bakke, L. Sekanina, "Recognizing speed limit sign
numbers by evolvable hardware", in Proc. of the 8th Int. Conf. on
Parallel Problem Solving from Nature (PPSN VIII), Berlin, DE,
Springer, 2004, pp. 682-691.
[21] R. S. Zebulum, A. Stoica, D. Keymeulen, "Experiments on the evolution
of digital to analog converters", published in the Proceedings of the
2001 IEEE Aerospace Conference, March 10-17 2001, Big Sky,
Montana , USA . Manhattan Beach.
@article{"International Journal of Electrical, Electronic and Communication Sciences:57279", author = "Yerbol Sapargaliyev and Tatiana Kalganova", title = "EHW from Consumer Point of View: Consumer-Triggered Evolution", abstract = "Evolvable Hardware (EHW) has been regarded as adaptive system acquired by wide application market. Consumer market of any good requires diversity to satisfy consumers- preferences. Adaptation of EHW is a key technology that could provide individual approach to every particular user. This situation raises a question: how to set target for evolutionary algorithm? The existing techniques do not allow consumer to influence evolutionary process. Only designer at the moment is capable to influence the evolution. The proposed consumer-triggered evolution overcomes this problem by introducing new features to EHW that help adaptive system to obtain targets during consumer stage. Classification of EHW is given according to responsiveness, imitation of human behavior and target circuit response. Home intelligent water heating system is considered as an example.
", keywords = "Actuators, consumer-triggered evolution, evolvable hardware, sensors.", volume = "1", number = "7", pages = "1007-6", }
