Genetic Programming and Evolvable Machines, Volume 5, 2004

Volume 5, Number 1, March 2004

• Wolfgang Banzhaf:
  Editorial Introduction. 5
  
• Wolfgang Banzhaf:
  Acknowledgment. 7
  
• Erik D. Goodman:
  A Word from the Chair of ISGEC. 9
  
• B. Ali, A. E. A. Almaini, Tatiana Kalganova:
  Evolutionary Algorithms and Theirs Use in the Design of Sequential Logic Circuits. 11-29
  
• Riccardo Poli, Nicholas Freitag McPhee, Jonathan E. Rowe:
  Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover. 31-70
  
• Peter J. Bentley:
  Fractal Proteins. 71-101
  
• Garnett Carl Wilson, Andrew R. McIntyre, Malcolm I. Heywood:
  Resource Review: Three Open Source Systems for Evolving Programs-Lilgp, ECJ and Grammatical Evolution. 103-105
  
• Kay Chen Tan:
  Book Review: The Design of Innovation: Lessons from and for Competent Genetic Algorithms. 107-110
  

Volume 5, Number 2, June 2004

• Wolfgang Banzhaf, James A. Foster:
  Editorial Introduction. 119-120
  
• Conrad Shyu, Luke Sheneman, James A. Foster:
  Multiple Sequence Alignment with Evolutionary Computation. 121-144
  
• Shin Ando, Hitoshi Iba:
  Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. 145-156
  
• Janaína S. de Sousa, Lalinka de C. T. Gomes, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
  An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data. 157-179
  
• Natalio Krasnogor:
  Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case. 181-201
  
• Bill C. H. Chang, Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson:
  Particle Swarm Optimisation for Protein Motif Discovery. 203-214
  
• Stefan Schneider, Christian Igel, Christian Klaes, Hubert R. Dinse, Jan C. Wiemer:
  Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience. 215-227
  
• James P. Hoffmann, Christopher D. Ellingwood, Osei M. Bonsu, Daniel E. Bentil:
  Ecological Model Selection via Evolutionary Computation and Information Theory. 229-241
  

Volume 5, Number 3, September 2004

• William B. Langdon, Bernard F. Buxton:
  Genetic Programming for Mining DNA Chip Data from Cancer Patients. 251-257
  
• Maarten Keijzer:
  Scaled Symbolic Regression. 259-269
  
• Steven Gustafson, Anikó Ekárt, Edmund K. Burke, Graham Kendall:
  Problem Difficulty and Code Growth in Genetic Programming. 271-290
  
• Andrew Watkins, Jon Timmis, Lois Boggess:
  Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm. 291-317
  
• Richard J. Povinelli:
  Book Review: Foundations of Genetic Programming. 319-320
  

Volume 5, Number 4, December 2004

• Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff:
  On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. 327-360
  
• Jungwon Kim, Peter J. Bentley:
  Immune Memory and Gene Library Evolution in the Dynamic Clonal Selection Algorithm. 361-391
  
• Manuel Alfonseca, Alfonso Ortega:
  Book Review: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language. 393-393
  
• Susan Stepney:
  Book Review: Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms. 395-396