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Publication search results
found 32 matches
- 2014
- Lee Altenberg:
Mathematics awaits: commentary on "Genetic Programming and Emergence" by Wolfgang Banzhaf. Genet. Program. Evolvable Mach. 15(1): 87-89 (2014) - Lee Altenberg:
Evolvability and robustness in artificial evolving systems: three perturbations. Genet. Program. Evolvable Mach. 15(3): 275-280 (2014) - Wolfgang Banzhaf:
Genetic Programming and Emergence. Genet. Program. Evolvable Mach. 15(1): 63-73 (2014) - Wolfgang Banzhaf:
Response to comments on "Genetic Programming and Emergence". Genet. Program. Evolvable Mach. 15(1): 103-108 (2014) - Anikó Ekárt:
Emergence in genetic programming - Let's exploit it! Genet. Program. Evolvable Mach. 15(1): 83-85 (2014) - Achiya Elyasaf, Moshe Sipper:
Software review: the HeuristicLab framework. Genet. Program. Evolvable Mach. 15(2): 215-218 (2014) - Robin Harper:
Evolving Robocode tanks for Evo Robocode. Genet. Program. Evolvable Mach. 15(4): 403-431 (2014) - Kangil Kim, Yin Shan, Xuan Hoai Nguyen, Robert I. McKay:
Probabilistic model building in genetic programming: a critical review. Genet. Program. Evolvable Mach. 15(2): 115-167 (2014) - Krzysztof Krawiec:
Genetic programming: where meaning emerges from program code. Genet. Program. Evolvable Mach. 15(1): 75-77 (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. Genet. Program. Evolvable Mach. 15(3): 221-244 (2014) - André Leier:
Emergence in simulated evolution. Genet. Program. Evolvable Mach. 15(1): 79-81 (2014) - Daniele Loiacono:
Gene I. Sher: Handbook of neuroevolution through Erlang - Springer, 2013, ISBN: 978-1461444626, pp 831, $189. Genet. Program. Evolvable Mach. 15(1): 109-110 (2014) - Daniele Loiacono, Moshe Sipper:
Special issue on GECCO competitions. Genet. Program. Evolvable Mach. 15(4): 375-377 (2014) - David J. Montana:
A response to "Genetic programming and emergence". Genet. Program. Evolvable Mach. 15(1): 95-97 (2014) - Behnaz Moradabadi, Hamid Beigy:
A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization. Genet. Program. Evolvable Mach. 15(2): 169-193 (2014) - Can Öztürkeri, Colin G. Johnson:
Self-repair ability of evolved self-assembling systems in cellular automata. Genet. Program. Evolvable Mach. 15(3): 313-341 (2014) - 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. Genet. Program. Evolvable Mach. 15(1): 3-35 (2014) - Elena Popovici:
Anne Auger and Benjamin Doerr (eds): Theory of randomized search heuristics: foundations and recent developments - World Scientific (2011), 359 pp. Genet. Program. Evolvable Mach. 15(1): 111-112 (2014) - 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. Genet. Program. Evolvable Mach. 15(3): 245-274 (2014) - Jan Quadflieg, Mike Preuss, Günter Rudolph:
Driving as a human: a track learning based adaptable architecture for a car racing controller. Genet. Program. Evolvable Mach. 15(4): 433-476 (2014) - Stéphane Sanchez, Sylvain Cussat-Blanc:
Gene regulated car driving: using a gene regulatory network to drive a virtual car. Genet. Program. Evolvable Mach. 15(4): 477-511 (2014) - Eric M. Schulte, Zachary P. Fry, Ethan Fast, Westley Weimer, Stephanie Forrest:
Software mutational robustness. Genet. Program. Evolvable Mach. 15(3): 281-312 (2014) - Moshe Sipper:
Commentary on "Genetic Programming and Emergence". Genet. Program. Evolvable Mach. 15(1): 91-93 (2014) - Lee Spector:
Introduction. Genet. Program. Evolvable Mach. 15(1): 1-2 (2014) - Lee Spector:
Peer commentary on Wolfgang Banzhaf's "genetic programming and emergence". Genet. Program. Evolvable Mach. 15(1): 61-62 (2014) - Lee Spector:
Acknowledgment. Genet. Program. Evolvable Mach. 15(1): 113-114 (2014) - Ivan Tanev, Tüze Kuyucu, Katsunori Shimohara:
GP-induced and explicit bloating of the seeds in incremental GP improves evolutionary success. Genet. Program. Evolvable Mach. 15(1): 37-60 (2014) - Uwe Tangen:
On evolvability and robustness in the matrix-GRT model. Genet. Program. Evolvable Mach. 15(3): 343-374 (2014) - Leonardo Vanneschi, Mauro Castelli, Sara Silva:
A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. 15(2): 195-214 (2014) - Francisco Fernández de Vega, Cayetano Cruz, Lilian Navarro, Patricia Hernández Rondan, Tania Gallego, Luis Espada:
Unplugging Evolutionary Algorithms: an experiment on human-algorithmic creativity. Genet. Program. Evolvable Mach. 15(4): 379-402 (2014)
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