Evolvable Systems: From Biology to Hardware

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

  • Gianluca Tempesti
  • Andy M. Tyrrell
  • Julian F. Miller
Conference proceedings ICES 2010

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

Table of contents

  1. Front Matter
  2. Session 1: Evolving Digital Circuits

    1. James Alfred Walker, James A. Hilder, Andy M. Tyrrell
      Pages 1-12
    2. Zbyšek Gajda, Lukáš Sekanina
      Pages 13-24
    3. Paul Bremner, Mohammad Samie, Gabriel Dragffy, Tony Pipe, James Alfred Walker, Andy M. Tyrrell
      Pages 37-48
  3. Session 2: Artificial Development

    1. David Lowe, Amir Mujkanovic, Daniele Miorandi, Lidia Yamamoto
      Pages 49-60
    2. Martin A. Trefzer, Tüze Kuyucu, Julian F Miller, Andy M. Tyrrell
      Pages 61-72
    3. Mohammad Ebne-Alian, Nawwaf Kharma
      Pages 73-84
    4. Michal Bidlo, Zdenek Vasicek, Karel Slany
      Pages 85-96
  4. Session 3: GPU Platforms for Bio-inspired Algorithms

    1. Luca Mussi, Spela Ivekovic, Stefano Cagnoni
      Pages 97-108
    2. Marjan Rouhipour, Peter J Bentley, Hooman Shayani
      Pages 121-132
  5. Session 4: Implementations and Applications of Neural Networks

    1. Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Fearghal Morgan
      Pages 133-144
    2. Giovanny Sánchez, Jordi Madrenas, Juan Manuel Moreno
      Pages 145-156
    3. Theodore W. Cornforth, Kyung-Joong Kim, Hod Lipson
      Pages 157-168
    4. Evert Haasdijk, Andrei A. Rusu, A. E. Eiben
      Pages 169-180
  6. Session 5: Test, Repair and Reconfiguration Using Evolutionary Algorithms

    1. Jaroslav Skarvada, Zdenek Kotasek, Josef Strnadel
      Pages 181-192
    2. Houjun Liang, Wenjian Luo, Zhifang Li, Xufa Wang
      Pages 193-201
    3. André Stauffer, Joël Rossier
      Pages 202-213
    4. Jiří Šimáček, Lukáš Sekanina, Lukáš Stareček
      Pages 214-225
  7. Session 6: Applications of Evolutionary Algorithms in Hardware

    1. James Alfred Walker, Yang Liu, Gianluca Tempesti, Andy M. Tyrrell
      Pages 238-249
    2. Tobias Knieper, Paul Kaufmann, Kyrre Glette, Marco Platzner, Jim Torresen
      Pages 250-261
  8. Session 7: Reconfigurable Hardware Platforms

    1. Jean-Marc Philippe, Benoît Tain, Christian Gamrat
      Pages 262-273
    2. Kyrre Glette, Mats Hovin
      Pages 274-285
    3. Andres Upegui, Yann Thoma, Héctor F. Satizábal, Francesco Mondada, Philippe Rétornaz, Yoan Graf et al.
      Pages 286-298
    4. Kotaro Kobayashi, Juan Manuel Moreno, Jordi Madrenas
      Pages 299-309
  9. Session 8: Applications of Evolution to Technology

    1. Leonardo Bruno de Sá, Pedro da Fonseca Vieira, Antonio Mesquita
      Pages 310-321
    2. Michael Farnsworth, Elhadj Benkhelifa, Ashutosh Tiwari, Meiling Zhu
      Pages 322-334
    3. Matthias Bechmann, Angelika Sebald, Susan Stepney
      Pages 335-347
    4. Cristian Ruican, Mihai Udrescu, Lucian Prodan, Mircea Vladutiu
      Pages 348-359
  10. Session 9: Novel Methods in Evolutionary Design

    1. Larry Bull
      Pages 360-371
    2. John Rieffel, Dave Sayles
      Pages 372-380
    3. Navneet Bhalla, Peter J. Bentley, Christian Jacob
      Pages 381-392
  11. Back Matter

About these proceedings


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.


algorithms automata design development evolution evolutionary algorithm fuzzy system genetic algorithms hardware network on chip (NoC) neural networks optimization robot robotics simulation

Editors and affiliations

  • Gianluca Tempesti
    • 1
  • Andy M. Tyrrell
    • 1
  • Julian F. Miller
    • 1
  1. 1.Department of Electronics, Intelligent Systems GroupUniversity of YorkYorkUK

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