Co-evolving parasites improve simulated evolution as an optimization procedure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
Evolution of Non-Deterministic Incremental Algorithms as a New Approach for Search in State Spaces
Proceedings of the 6th International Conference on Genetic Algorithms
The Test Vector Problem and Limitations to Evolving Digital Circuits
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Evolving an Adaptive Digital Filter
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Evolvable Components: From Theory to Hardware Implementations
Evolvable Components: From Theory to Hardware Implementations
Inherent fault tolerance in evolved sorting networks
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Proceedings of the 3rd conference on Computing frontiers
Evolutionary functional recovery in virtual reconfigurable circuits
ACM Journal on Emerging Technologies in Computing Systems (JETC)
FPGA vs. multi-core CPUs vs. GPUs: hands-on experience with a sorting application
Facing the multicore-challenge
Complete FPGA implemented evolvable image filters
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Using symmetry and evolutionary search to minimize sorting networks
The Journal of Machine Learning Research
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A specialized architecture was developed and evaluated to evolve relatively large sorting networks in an ordinary FPGA. Genetic unit and fitness function are also implemented on the same FPGA. We evolved sorting networks up to N = 28. The evolution of the largest sorting networks requires 10 hours in FPGA running at 100 MHz. The experiments were performed using COMBO6 card.