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Evolvable Systems: From Biology to Hardware

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Cover of 'Evolvable Systems: From Biology to Hardware'

Table of Contents

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    Book Overview
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    Chapter 1 An Adaptive Self-tolerant Algorithm for Hardware Immune System
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    Chapter 2 Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
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    Chapter 3 Hardware Fault-Tolerance Within the POEtic System
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    Chapter 4 Evolvable Hardware System at Extreme Low Temperatures
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    Chapter 5 Intrinsic Evolution of Sorting Networks: A Novel Complete Hardware Implementation for FPGAs
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    Chapter 6 Evolving Hardware by Dynamically Reconfiguring Xilinx FPGAs
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    Chapter 7 A Flexible On-Chip Evolution System Implemented on a Xilinx Virtex-II Pro Device
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    Chapter 8 An Evolvable Image Filter: Experimental Evaluation of a Complete Hardware Implementation in FPGA
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    Chapter 9 Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform
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    Chapter 10 Intrinsic Evolution of Controllable Oscillators in FPTA-2
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    Chapter 11 The Role of Non-linearity for Evolved Multifunctional Robot Behavior
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    Chapter 12 An On-the-fly Evolutionary Algorithm for Robot Motion Planning
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    Chapter 13 Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction
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    Chapter 14 Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP
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    Chapter 15 Evolution In Materio: Investigating the Stability of Robot Controllers Evolved in Liquid Crystal
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    Chapter 16 Hardware Implementation of 3D Self-replication
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    Chapter 17 POEtic: A Prototyping Platform for Bio-inspired Hardware
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    Chapter 18 Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue
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    Chapter 19 Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB Communication
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    Chapter 20 Evolution, Re-evolution, and Prototype of an X-Band Antenna for NASA’s Space Technology 5 Mission
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    Chapter 21 Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Response
Attention for Chapter 10: Intrinsic Evolution of Controllable Oscillators in FPTA-2
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Chapter title
Intrinsic Evolution of Controllable Oscillators in FPTA-2
Chapter number 10
Book title
Evolvable Systems: From Biology to Hardware
Published by
Springer, Berlin, Heidelberg, September 2005
DOI 10.1007/11549703_10
Book ISBNs
978-3-54-028736-0, 978-3-54-028737-7
Authors

Lukáš Sekanina, Ricardo S. Zebulum

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Researcher 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Physics and Astronomy 1 20%
Engineering 1 20%

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