Genetic Programming and Evolvable Machines, Volume 8, 2007

Volume 8, Number 1, March 2007

Wolfgang Banzhaf:
Editorial introduction. 1-2
Wolfgang Banzhaf:
Acknowledgment. 3-4
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry:
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. 5-37
Ivan Tanev:
Genetic programming incorporating biased mutation for evolution and adaptation of Snakebot. 39-59
Daniel Roggen, Diego Federici, Dario Floreano:
Evolutionary morphogenesis for multi-cellular systems. 61-96
Marco Tomassini, Leslie Luthi, Mario Giacobini, William B. Langdon:
The structure of the genetic programming collaboration network. 97-103
Torbjörn Lundh:
Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN: 0-8176-4281-1, List Price: $89.95. 105-106
James Kennedy:
Review of Engelbrecht's Fundamentals of Computational Swarm Intelligence. 107-109

Special Issue on Developmental Systems

Gregory Hornby, Sanjeev Kumar, Christian Jacob:
Editorial introduction to the special issue on developmental systems. 111-113
Cristian A. Solari, John O. Kessler, Raymond E. Goldstein:
Motility, mixing, and multicellularity. 115-129
Kenneth O. Stanley:
Compositional pattern producing networks: A novel abstraction of development. 131-162
Una-May O'Reilly, Martin Hemberg:
Integrating generative growth and evolutionary computation for form exploration. 163-186
Garnett Carl Wilson, Malcolm I. Heywood:
Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings. 187-220

Artem Sokolov, L. Darrell Whitley, André da Motta Salles Barreto:
A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming. 221-237
Carlos Cotta, Juan Julián Merelo Guervós:
Where is evolutionary computation going? A temporal analysis of the EC community. 239-253
Renato Tinós, Shengxiang Yang:
A self-organizing random immigrants genetic algorithm for dynamic optimization problems. 255-286
Eduardo do Valle Simões:
Evolvable hardware. 287-288
Diego H. Milone:
Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation. 289-291
Colin R. Reeves:
Evolutionary computation: a unified approach. 293-295

Stephen L. Smith, Stefano Cagnoni:
Introduction to the special issue on medical applications of Genetic and Evolutionary Computation. 297-299
Gabriela Ochoa, Minaya Villasana, Edmund K. Burke:
An evolutionary approach to cancer chemotherapy scheduling. 301-318
Pierrick Legrand, Claire Bourgeois-République, Vincent Péan, Esther Harboun-Cohen, Jacques Lévy Véhel, Bruno Frachet, Evelyne Lutton, Pierre Collet:
Interactive evolution for cochlear implants fitting. 319-354
Stanley Phillips Gotshall, Kathy Browder, Jessica Sampson, Terence Soule, Richard Wells:
Stochastic optimization of a biologically plausible spino-neuromuscular system model. 355-380
Armand Bankhead, Robert B. Heckendorn:
Using evolvable genetic cellular automata to model breast cancer. 381-393
Margaret J. Eppstein, Joshua L. Payne, Bill C. White, Jason H. Moore:
Genomic mining for complex disease traits with "random chemistry". 395-411
Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi:
Genetic programming for computational pharmacokinetics in drug discovery and development. 413-432
Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, Jeremy R. Playfer:
Diagnosis of Parkinson's disease using evolutionary algorithms. 433-447

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