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Evolvable Systems: From Biology to Hardware

9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Gianluca Tempesti

    1. Department of Electronics, Intelligent Systems Group, University of York, York, UK

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  2. Andy M. Tyrrell

    1. Department of Electronics, Intelligent Systems Group, University of York, York, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Julian F. Miller

    1. Department of Electronics, Intelligent Systems Group, University of York, York, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6274)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICES 2010.

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Table of contents (33 papers)

  1. Front Matter

    Download chapter PDF

  2. Session 1: Evolving Digital Circuits

    1. Measuring the Performance and Intrinsic Variability of Evolved Circuits

      • James Alfred Walker, James A. Hilder, Andy M. Tyrrell
      Pages 1-12

    2. An Efficient Selection Strategy for Digital Circuit Evolution

      • Zbyšek Gajda, Lukáš Sekanina
      Pages 13-24

    3. Introducing Flexibility in Digital Circuit Evolution: Exploiting Undefined Values in Binary Truth Tables

      • Ricky D. Ledwith, Julian F. Miller
      Pages 25-36

    4. Evolving Digital Circuits Using Complex Building Blocks

      • Paul Bremner, Mohammad Samie, Gabriel Dragffy, Tony Pipe, James Alfred Walker, Andy M. Tyrrell
      Pages 37-48

  3. Session 2: Artificial Development

    1. Fault Tolerance of Embryonic Algorithms in Mobile Networks

      • David Lowe, Amir Mujkanovic, Daniele Miorandi, Lidia Yamamoto
      Pages 49-60

    2. Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network

      • Martin A. Trefzer, Tüze Kuyucu, Julian F Miller, Andy M. Tyrrell
      Pages 61-72

    3. A New Method to Find Developmental Descriptions for Digital Circuits

      • Mohammad Ebne-Alian, Nawwaf Kharma
      Pages 73-84

    4. Sorting Network Development Using Cellular Automata

      • Michal Bidlo, Zdenek Vasicek, Karel Slany
      Pages 85-96

  4. Session 3: GPU Platforms for Bio-inspired Algorithms

    1. Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO

      • Luca Mussi, Spela Ivekovic, Stefano Cagnoni
      Pages 97-108

    2. Evolving Object Detectors with a GPU Accelerated Vision System

      • Marc Ebner
      Pages 109-120

    3. Systemic Computation Using Graphics Processors

      • Marjan Rouhipour, Peter J Bentley, Hooman Shayani
      Pages 121-132

  5. Session 4: Implementations and Applications of Neural Networks

    1. An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations

      • Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Fearghal Morgan
      Pages 133-144

    2. Performance Evaluation and Scaling of a Multiprocessor Architecture Emulating Complex SNN Algorithms

      • Giovanny Sánchez, Jordi Madrenas, Juan Manuel Moreno
      Pages 145-156

    3. Evolution of Analog Circuit Models of Ion Channels

      • Theodore W. Cornforth, Kyung-Joong Kim, Hod Lipson
      Pages 157-168

    4. HyperNEAT for Locomotion Control in Modular Robots

      • Evert Haasdijk, Andrei A. Rusu, A. E. Eiben
      Pages 169-180

  6. Session 5: Test, Repair and Reconfiguration Using Evolutionary Algorithms

    1. The Use of Genetic Algorithm to Reduce Power Consumption during Test Application

      • Jaroslav Skarvada, Zdenek Kotasek, Josef Strnadel
      Pages 181-192

    2. Designing Combinational Circuits with an Evolutionary Algorithm Based on the Repair Technique

      • Houjun Liang, Wenjian Luo, Zhifang Li, Xufa Wang
      Pages 193-201

    3. Bio-inspired Self-testing Configurable Circuits

      • André Stauffer, Joël Rossier
      Pages 202-213

    4. Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time

      • Jiří Šimáček, Lukáš Sekanina, Lukáš Stareček
      Pages 214-225
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Other volumes

  1. Evolvable Systems: From Biology to Hardware

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About this book

Biology has inspired electronics from the very beginning: the machines that we now call computers are deeply rooted in biological metaphors. Pioneers such as Alan Turing and John von Neumann openly declared their aim of creating arti?cial machines that could mimic some of the behaviors exhibited by natural organisms. Unfortunately, technology had not progressed enough to allow them to put their ideas into practice. The 1990s saw the introduction of programmable devices, both digital (FP- GAs) and analogue (FPAAs). These devices, by allowing the functionality and the structure of electronic devices to be easily altered, enabled researchers to endow circuits with some of the same versatility exhibited by biological entities and sparked a renaissance in the ?eld of bio-inspired electronics with the birth of what is generally known as evolvable hardware. Eversince,the?eldhasprogressedalongwiththetechnologicalimprovements and has expanded to take into account many di?erent biological processes, from evolution to learning, from development to healing. Of course, the application of these processes to electronic devices is not always straightforward (to say the least!), but rather than being discouraged, researchers in the community have shown remarkable ingenuity, as demostrated by the variety of approaches presented at this conference and included in these proceedings.

Editors and Affiliations

  • Department of Electronics, Intelligent Systems Group, University of York, York, UK

    Gianluca Tempesti, Andy M. Tyrrell, Julian F. Miller

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