Mixtrinsic Evolution

@inproceedings{Stoica2000MixtrinsicE,
  title={Mixtrinsic Evolution},
  author={Adrian Stoica and Ricardo Salem Zebulum and Didier Keymeulen},
  booktitle={ICES},
  year={2000}
}
Evolvable hardware (EHW) refers to automated synthesidoptimization of HW (e.g. electronic circuits) using evolutionary algorithms. Extrinsic EHW refers to evolution using software (SW) simulations of HW models, while intrinsic EHW refers to evolution with HW in the loop, evaluating directly the behaviorhesponse of HW. For several reasons (including mismatches between models and physical HW, limitations of the simulator and testing system, etc.) circuits evolved in SW may not perform the same… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 22 CITATIONS

Mixtrinsic Multi-Objective Reconfiguration of Evolvable Sensor Electronics

  • Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
  • 2007
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Hexarray: A Novel Self-Reconfigurable Hardware System

VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS

An evolutionary algorithm testbed for quick implementation of algorithms in hardware

  • 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems
  • 2009
VIEW 1 EXCERPT
CITES BACKGROUND

Continuous Adaptation in Robotic Systems by Indirect Online Evolution

  • 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems (LAB-RS)
  • 2008

On the "Evolvable Hardware" Approach to Electronic Design Invention

  • 2007 IEEE Workshop on Evolvable and Adaptive Hardware (WEAH2007)
  • 2007
VIEW 1 EXCERPT
CITES BACKGROUND

Generalized Disjunction Decomposition for Evolvable Hardware

  • IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2006

References

Publications referenced by this paper.
SHOWING 1-3 OF 3 REFERENCES

Evolutionary design technique

A. Stoica
  • IEEE Transactions on Evolutionary Computation, September 1999, V.3,
  • 1999

Silicon Evolution

A. Thompson
  • Proceedings of Genetic Programming
  • 1996

Similar Papers

Loading similar papers…