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ORCIDGenetic Programming and Evolvable Machines, Volume 15
Volume 15, Number 1, March 2014
- Lee Spector
:
Introduction. 1-2 - Gisele L. Pappa, Gabriela Ochoa, Matthew R. Hyde, Alex Alves Freitas, John R. Woodward, Jerry Swan:
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. 3-35 - Ivan Tanev, Tüze Kuyucu, Katsunori Shimohara:
GP-induced and explicit bloating of the seeds in incremental GP improves evolutionary success. 37-60 - Lee Spector:
Peer commentary on Wolfgang Banzhaf's "genetic programming and emergence". 61-62 - Wolfgang Banzhaf:
Genetic Programming and Emergence. 63-73 - Krzysztof Krawiec:
Genetic programming: where meaning emerges from program code. 75-77 - André Leier:
Emergence in simulated evolution. 79-81 - Anikó Ekárt:
Emergence in genetic programming - Let's exploit it! 83-85 - Lee Altenberg:
Mathematics awaits: commentary on "Genetic Programming and Emergence" by Wolfgang Banzhaf. 87-89 - Moshe Sipper:
Commentary on "Genetic Programming and Emergence". 91-93 - David J. Montana:
A response to "Genetic programming and emergence". 95-97 - Peter A. Whigham:
Wolfgang Banzhaf: Genetic programming and emergence. 99-101 - Wolfgang Banzhaf:
Response to comments on "Genetic Programming and Emergence". 103-108 - Daniele Loiacono:
Gene I. Sher: Handbook of neuroevolution through Erlang - Springer, 2013, ISBN: 978-1461444626, pp 831, $189. 109-110 - Elena Popovici:
Anne Auger and Benjamin Doerr (eds): Theory of randomized search heuristics: foundations and recent developments - World Scientific (2011), 359 pp. 111-112 - Lee Spector:
Acknowledgment. 113-114
Volume 15, Number 2, June 2014
- Kangil Kim, Yin Shan, Xuan Hoai Nguyen, Robert I. McKay:
Probabilistic model building in genetic programming: a critical review. 115-167 - Behnaz Moradabadi, Hamid Beigy:
A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization. 169-193 - Leonardo Vanneschi, Mauro Castelli, Sara Silva:
A survey of semantic methods in genetic programming. 195-214 - Achiya Elyasaf, Moshe Sipper:
Software review: the HeuristicLab framework. 215-218 - Lixiu Yu:
Daren C. Brabham: Crowdsourcing - The MIT Press, 2013, 176 pp, $12.95, ISBN 9780262518475. 219-220
Volume 15, Number 3, September 2014
- Juan Luis Jiménez Laredo, Pascal Bouvry, Daniel Lombraña González, Francisco Fernández de Vega, Maribel García Arenas, Juan Julián Merelo Guervós, Carlos M. Fernandes:
Designing robust volunteer-based evolutionary algorithms. 221-244 - Omer Qadir, Alexander Lenz, Gianluca Tempesti, Jon Timmis, Tony Pipe, Andy M. Tyrrell:
Hardware architecture of the Protein Processing Associative Memory and the effects of dimensionality and quantisation on performance. 245-274 - Lee Altenberg:
Evolvability and robustness in artificial evolving systems: three perturbations. 275-280 - Eric M. Schulte, Zachary P. Fry, Ethan Fast, Westley Weimer, Stephanie Forrest:
Software mutational robustness. 281-312 - Can Öztürkeri, Colin G. Johnson:
Self-repair ability of evolved self-assembling systems in cellular automata. 313-341 - Uwe Tangen:
On evolvability and robustness in the matrix-GRT model. 343-374
Volume 15, Number 4, December 2014
- Daniele Loiacono, Moshe Sipper:
Special issue on GECCO competitions. 375-377 - Francisco Fernández de Vega, Cayetano Cruz, Lilian Navarro, Patricia Hernández Rondan, Tania Gallego, Luis Espada:
Unplugging Evolutionary Algorithms: an experiment on human-algorithmic creativity. 379-402 - Robin Harper:
Evolving Robocode tanks for Evo Robocode. 403-431 - Jan Quadflieg, Mike Preuss, Günter Rudolph:
Driving as a human: a track learning based adaptable architecture for a car racing controller. 433-476 - Stéphane Sanchez, Sylvain Cussat-Blanc:
Gene regulated car driving: using a gene regulatory network to drive a virtual car. 477-511
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