5. ICES 2003: Trondheim, Norway

• Christof Teuscher, Mathieu S. Capcarrère:
  On Fireflies, Cellular Systems, and Evolware. 1-12
  
• Lyudmila Zinchenko, Heinz Mühlenbein, Victor Kureichik, Thilo Mahnig:
  A Comparison of Different Circuit Representations for Evolutionary Analog Circuit Design. 13-23
  
• Andrew J. Greensted, Andrew M. Tyrrell:
  Fault Tolerance via Endocrinologic Based Communication for Multiprocessor Systems. 24-34
  
• Thorsten Schnier, Xin Yao:
  Using Negative Correlation to Evolve Fault-Tolerant Circuits. 35-46
  
• Jason D. Lohn, Gregory V. Larchev, Ronald F. DeMara:
  A Genetic Representation for Evolutionary Fault Recovery in Virtex FPGAs. 47-56
  
• Sanjeev Kumar, Peter J. Bentley:
  Biologically Inspired Evolutionary Development. 57-68
  
• Gunnar Tufte, Pauline C. Haddow:
  Building Knowledge into Developmental Rules for Circuit Design. 69-80
  
• Peter J. Bentley:
  Evolving Fractal Proteins. 81-92
  
• Julian F. Miller, Peter Thomson:
  A Developmental Method for Growing Graphs and Circuits. 93-104
  
• Keith L. Downing:
  Developmental Models for Emergent Computation. 105-116
  
• Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick:
  Developmental Effects on Tuneable Fitness Landscapes. 117-128
  
• Andrew M. Tyrrell, Eduardo Sanchez, Dario Floreano, Gianluca Tempesti, Daniel Mange, Juan Manuel Moreno, Jay Rosenberg, Alessandro E. P. Villa:
  POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware. 129-140
  
• Gianluca Tempesti, Daniel Roggen, Eduardo Sanchez, Yann Thoma, Richard Canham, Andrew M. Tyrrell:
  Ontogenetic Development and Fault Tolerance in the POEtic Tissue. 141-152
  
• Daniel Roggen, Dario Floreano, Claudio Mattiussi:
  A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit. 153-164
  
• Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle Tucker, Ken Lindsay, David M. Halliday, Jay Rosenberg, Juan Manuel Moreno, Alessandro E. P. Villa:
  Spiking Neural Networks for Reconfigurable POEtic Tissue. 165-173
  
• Richard Canham, Andrew M. Tyrrell:
  A Learning, Multi-layered, Hardware Artificial Immune System Implemented upon an Embryonic Array. 174-185
  
• Lukás Sekanina:
  Virtual Reconfigurable Circuits for Real-World Applications of Evolvable Hardware. 186-197
  
• Moritoshi Yasunaga, Ikuo Yoshihara, Jung Hwan Kim:
  Gene Finding Using Evolvable Reasoning Hardware. 198-207
  
• Ju Hui Li, Meng-Hiot Lim:
  Evolvable Fuzzy System for ATM Cell Scheduling. 208-217
  
• Arturo Hernández Aguirre, Edgar C. González Equihua, Carlos A. Coello Coello:
  Synthesis of Boolean Functions Using Information Theory. 218-227
  
• Jim Torresen:
  Evolving Multiplier Circuits by Training Set and Training Vector Partitioning. 228-237
  
• Miguel Garvie, Adrian Thompson:
  Evolution of Self-diagnosing Hardware. 238-248
  
• Cesar Ortega-Sanchez, Jose Torres-Jimenez, Jorge Morales-Cruz:
  Routing of Embryonic Arrays Using Genetic Algorithms. 249-261
  
• Fulvio Corno, F. Cumani, Giovanni Squillero:
  Exploiting Auto-adaptive 7GP for Highly Effective Test Programs Generation. 262-273
  
• Tillmann Schmitz, Steffen G. Hohmann, Karlheinz Meier, Johannes Schemmel, Felix Schürmann:
  Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms. 274-285
  
• Ricardo Salem Zebulum, Adrian Stoica, Didier Keymeulen, Michael I. Ferguson, Vu Duong, Xin Guo, Vatche Vorperian:
  Automatic Evolution of Signal Separators Using Reconfigurable Hardware. 286-295
  
• Henrik Hautop Lund, Rasmus Lock Larsen, Esben Hallundbæk Østergaard:
  Distributed Control in Self-reconfigurable Robots. 296-307
  
• Esben Hallundbæk Østergaard, Henrik Hautop Lund:
  Co-evolving Complex Robot Behavior. 308-319
  
• Jesper Blynel:
  Evolving Reinforcement Learning-Like Abilities for Robots. 320-331
  
• Stephen L. Smith, David P. Crouch, Andrew M. Tyrrell:
  Evolving Image Processing Operations for an Evolvable Hardware Environment. 332-343
  
• M. A. Hannan Bin Azhar, Keith R. Dimond:
  Hardware Implementation of a Genetic Controller and Effects of Training on Evolution. 344-354
  
• Robert Goldsmith:
  Real World Hardware Evolution: A Mobile Platform for Sensor Evolution. 355-364
  
• Snorre Aunet, Morten Hartmann:
  Real-Time Reconfigurable Linear Threshold Elements and Some Applications to Neural Hardware. 365-376
  
• Rudie van de Haar, Jaap Hoekstra:
  Simulation of a Neural Node Using SET Technology. 377-386
  
• N. Venkateswaran, C. Chandramouli:
  General Purpose Processor Architecture for Modeling Stochastic Biological Neuronal Assemblies. 387-397
  
• Carlos A. Coello Coello, Erika Hernández Luna, Arturo Hernández Aguirre:
  Use of Particle Swarm Optimization to Design Combinational Logic Circuits. 398-409
  
• Giovani Gomez Estrada:
  A Note on Designing Logical Circuits Using SAT. 410-421
  
• Werner Van Belle, Tom Mens, Theo D'Hondt:
  Using Genetic Programming to Generate Protocol Adaptors for Interprocess Communication. 422-433
  
• Sérgio G. Araújo, Antônio C. Mesquita, Aloysio Pedroza:
  Using Genetic Programming and High Level Synthesis to Design Optimized Datapath. 434-445
  
• Fumiaki Tanaka, Atsushi Kameda, Masahito Yamamoto, Azuma Ohuchi:
  The Effect of the Bulge Loop upon the Hybridization Process in DNA Computing. 446-456
  
• Hugo de Garis, Amit Gaur, Ravichandra Sriram:
  Quantum versus Evolutionary Systems. Total versus Sampled Search. 457-465
  

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