Evolvable Systems: From Biology to Hardware

1. Front Matter

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2. Evolution of Analog Circuits

   1. Unconstrained Evolution of Analogue Computational “QR” Circuit with Oscillating Length Representation

      • Yerbol Sapargaliyev, Tatiana G. Kalganova

      Pages 1-10

   2. ISCLEs: Importance Sampled Circuit Learning Ensembles for Trustworthy Analog Circuit Topology Synthesis

      • Peng Gao, Trent McConaghy, Georges Gielen

      Pages 11-21

3. Evolution of Digital Circuits

   1. A Comparison of Evolvable Hardware Architectures for Classification Tasks

      • Kyrre Glette, Jim Torresen, Paul Kaufmann, Marco Platzner

      Pages 22-33

   2. Hardware Acceleration of an Immune Network Inspired Evolutionary Algorithm for Medical Diagnosis

      • Stephen L. Smith, Andrew Greensted, Jon Timmis

      Pages 34-46

   3. A Stepwise Dimension Reduction Approach to Evolutionary Design of Relative Large Combinational Logic Circuits

      • Zhifang Li, Wenjian Luo, Xufa Wang

      Pages 47-58

4. Hardware-Software Codesign and Platforms for Adaptive Systems

   1. Evolutionary Graph Models with Dynamic Topologies on the Ubichip

      • Juan Camilo Peña, Jorge Peña, Andres Upegui

      Pages 59-70

   2. A Hardware-Software Design Framework for Distributed Cellular Computing

      • Pierre-André Mudry, Julien Ruffin, Michel Ganguin, Gianluca Tempesti

      Pages 71-82

   3. Hardware/Software Co-synthesis of Distributed Embedded Systems Using Genetic Programming

      • Stanislaw Deniziak, Adam Gorski

      Pages 83-93

   4. Self-Adaptive Networked Entities for Building Pervasive Computing Architectures

      • Martin Danek, Jean-Marc Philippe, Petr Honzik, Christian Gamrat, Roman Bartosinski

      Pages 94-105

5. Best Paper Award Competition

   1. Cellular Automata-Based Development of Combinational and Polymorphic Circuits: A Comparative Study

      • Michal Bidlo, Zdeněk Vašíček

      Pages 106-117

   2. Investigating the Suitability of FPAAs for Evolved Hardware Spiking Neural Networks

      • Patrick Rocke, Brian McGinley, John Maher, Fearghal Morgan, Jim Harkin

      Pages 118-129

   3. The Segmental-Transmission-Line: Its Design and Prototype Evaluation

      • Moritoshi Yasunaga, Yoshiki Yamaguchi, Hiroshi Nakayama, Ikuo Yoshihara, Naoki Koizumi, Jung H. Kim

      Pages 130-140

   4. On Evolutionary Synthesis of Linear Transforms in FPGA

      • Zdeněk Vašíček, Martin Žádník, Lukáš Sekanina, Jiří Tobola

      Pages 141-152

6. Evolutionary Robotics

   1. Towards Efficient Evolutionary Design of Autonomous Robots

      • Peter Krčah

      Pages 153-164

   2. Indirect Online Evolution – A Conceptual Framework for Adaptation in Industrial Robotic Systems

      • Marcus Furuholmen, Kyrre Glette, Jim Torresen, Mats Hovin

      Pages 165-176

7. Development

   1. A Developmental Gene Regulation Network for Constructing Electronic Circuits

      • Song Zhan, Julian F. Miller, Andy M. Tyrrell

      Pages 177-188

   2. Discovery and Investigation of Inherent Scalability in Developmental Genomes

      • Gunnar Tufte

      Pages 189-200

   3. Learning General Solutions through Multiple Evaluations during Development

      • Tuan-Hao Hoang, R. I. (Bob) McKay, Daryl Essam, Xuan Hoai Nguyen

      Pages 201-212

8. Real-World Applications

   1. Evolving MEMS Resonator Designs for Fabrication

      • Gregory S. Hornby, William F. Kraus, Jason D. Lohn

      Pages 213-224

This book constitutes the refereed proceedings of the 8th International Conference on Evolvable Systems, ICES 2008, held in Prague, Czech Republic, in September 2008. The 28 revised full papers and 14 revised poster papers presented were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections on evolution of analog circuits, evolution of digital circuits, hardware-software codesign and platforms for adaptive systems, evolutionary robotics, development, real-world applications, evolutionary networking, evolvable artificial neural networks, and transistor-level circuit evolution.

• artificial neural network
• biology
• design
• evolution
• neural network
• robot
• robotics

• NASA Ames Research Center, University of California Santa Cruz, Moffett Field, USA

  Gregory S. Hornby

• Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic

  Lukáš Sekanina

• Faculty of Information Technology, Dept. of Computer and Information Science, Norwegian University of Science and Technology, Gloshaugen, Norway

  Pauline C. Haddow

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