Consensus as an evaluation function for evolvable hardware

Details Consensus as an evaluation function for evolvable hardware Consensus as an evaluation function for evolvable hardware

2011-08-02

2011-08-02

Holmes, Michael B (Department: 2129)

Data processing: artificial intelligence

Machine learning

Genetic algorithm and genetic programming system

Reexamination Certificate

active

07991712

ABSTRACT:
An evolution approach involves the automatic generation of an evaluation function. According to an example embodiment of the present invention, a consensus result from a population of designs is used to evaluate designs in the population for fitness. New designs are evolved using the consensus result as an evaluation function, with newly-evolved designs replacing ones of the population of designs determined to be unfit. With this approach, automatic design evolution is carried out independently from a fixed evaluation function, which is sometimes susceptible to error.

REFERENCES:
patent: 2003/0050902 (2003-03-01), Buczak et al.
Lohn, J., Crawford, J., Globus, A., Hornby, G., Kraus, W., Larchev, G., Pryor, A., Sriviastava, D. “Evolvable systems for space applications” International Conference on Space Mission Challenges for Information Technology (SMC-IT). (2003) url=“citeseer.ist.psu.edu/lohn03evolvable.html”.
Christoph H. Loch • Christian Terwiesch • Stefan Thomke “parallel and sequential testing of design alternatives” management science, vol. 45, No. 5, May 2001.
Sverre Vigander (“Evolutionary Fault Repair of Electronics in Space Applications” Feb. 2001).
Sverre Vigander (“Evolutionary Fault Repair of Electronics in Space Applications” University of Sussex, Feb. 2001).
Xin Yao (“Making Use of Population Information in Evolutionary Arftifical Neural Networks” IEEE 1998).
Shanthi et al (“GA based on-line testing and recovery for critical digital systems” 2002).
Shanthi et al (“GA Based On-line Testing and Recovery for Critical Digital Systems” 2002).
Zhang et al (“Consensus-Based Evolvable Hardware for Sustainable Fault-Handling” 2006).
Zhang et al (“Consensus-based Evaluation for Fault Isolation and On-line Evolutionary Regeneration” 2005).

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