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ORCIDGenetic 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 M. Gustafson, Anikó Ekárt, Edmund K. Burke, Graham Kendall:
Problem Difficulty and Code Growth in Genetic Programming. 271-290 - Andrew B. Watkins, Jon Timmis, Lois C. 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 - Susan Stepney:
Book Review: Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms. 395-396
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