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Titlebook: Evolvable Systems: From Biology to Hardware; 6th International Co J. Manuel Moreno,Jordi Madrenas,Jordi Cosp Conference proceedings 2005 Sp

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General Systems Theory as a New Disciplineion 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.
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https://doi.org/10.1007/978-3-658-29870-8ve an image filter in a few seconds if corrupted and original images are supplied by user. The architecture is generic and can easily be modified to realize other evolvable systems. COMBO6 card with Xilinx Virtex xc2v3000 FPGA is used as a target platform.
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https://doi.org/10.1007/978-3-642-58534-0se oscillators can produce different oscillations for different setting of control signals. Therefore, they could be used, in principle, to compose complex networks of oscillators that could exhibit rich dynamical behavior in order to perform a computation or to model a desired system.
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Facetten des römischen Pfandrechtsdiscuss the stability and reconfigurability of a real time robot controller evolved in liquid crystal. We envisage these issues will be important when programming or evolving in other physical systems.
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An Evolvable Image Filter: Experimental Evaluation of a Complete Hardware Implementation in FPGAve an image filter in a few seconds if corrupted and original images are supplied by user. The architecture is generic and can easily be modified to realize other evolvable systems. COMBO6 card with Xilinx Virtex xc2v3000 FPGA is used as a target platform.
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Evolution In Materio: Investigating the Stability of Robot Controllers Evolved in Liquid Crystaldiscuss the stability and reconfigurability of a real time robot controller evolved in liquid crystal. We envisage these issues will be important when programming or evolving in other physical systems.
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Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB CommunicationI optimizes on-site transmission performance, with adjustments based on measurements for the whole transmission system, including cable properties. Utilizing genetic algorithm (GA), our adjustment method has achieved a transmission speed that is four times faster (1.6GHz) than current standards (400MHz) for IEEE1394.
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