dblp: Genetic Programming and Evolvable Machines, Volume 11

Lee Spector: Editorial introduction. 1-2

Lee Spector: Acknowledgment. 3-4

Khaled M. S. Badran, Peter Rockett: The influence of mutation on population dynamics in multiobjective genetic programming. 5-33

Kyung-Joong Kim, Adrian Wong, Hod Lipson: Automated synthesis of resilient and tamper-evident analog circuits without a single point of failure. 35-59

Pawel Widera, Jonathan M. Garibaldi, Natalio Krasnogor: GP challenge: evolving energy function for protein structure prediction. 61-88

David Jackson: The identification and exploitation of dormancy in genetic programming. 89-121

Gisele L. Pappa: Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications - CRC Press, 2009, 379 pp, ISBN 978-1584886297. 123-125

Felix Streichert: Melanie Mitchell: Complexity a guided tour - OUP, 2009, Hardback, 368 pp, ISBN13: 9780195124415. 127-128

Marco Tomassini, Leonardo Vanneschi: Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two. 129-130

Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano: An ensemble-based evolutionary framework for coping with distributed intrusion detection. 131-146

Garnett Carl Wilson, Wolfgang Banzhaf: Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms. 147-184

Boye Annfelt Høverstad: Simdist: a distribution system for easy parallelization of evolutionary computation. 185-203

Ting Hu, Simon Harding, Wolfgang Banzhaf: Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm. 205-225

Juan Luís Jiménez Laredo, A. E. Eiben, Maarten van Steen, Juan Julián Merelo Guervós: EvAg: a scalable peer-to-peer evolutionary algorithm. 227-246

Julian F. Miller, Riccardo Poli: Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines. 247-250

John R. Koza: Human-competitive results produced by genetic programming. 251-284

Riccardo Poli, Leonardo Vanneschi, William B. Langdon, Nicholas Freitag McPhee: Theoretical results in genetic programming: the next ten years? 285-320

William B. Langdon, Steven M. Gustafson: Genetic Programming and Evolvable Machines: ten years of reviews. 321-338

Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Wolfgang Banzhaf: Open issues in genetic programming. 339-363

Robert I. McKay, Nguyen Xuan Hoai, Peter Alexander Whigham, Yin Shan, Michael O'Neill: Grammar-based Genetic Programming: a survey. 365-396

Simon Harding, Julian F. Miller, Wolfgang Banzhaf: Developments in Cartesian Genetic Programming: self-modifying CGP. 397-439

Ivan I. Garibay: Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies. 441-443

Genetic Programming and Evolvable Machines, Volume 11, 2010

Volume 11, Number 1, March 2010

Volume 11, Number 2, June 2010

Volume 11, Numbers 3-4, September 2010