default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGenetic Programming and Evolvable Machines, Volume 18
Volume 18, Number 1, March 2017
- Lee Spector:
Editorial introduction. 1-2 - Justyna Petke
:
Preface to the Special Issue on Genetic Improvement. 3-4 - William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman:
Genetic improvement of GPU software. 5-44 - Zdenek Vasícek, Vojtech Mrazek:
Trading between quality and non-functional properties of median filter in embedded systems. 45-82 - Kwaku Yeboah-Antwi, Benoit Baudry:
Online Genetic Improvement on the java virtual machine with ECSELR. 83-109 - Raja Muhammad Atif Azad:
Krzysztof Krawiec: Behavioral program synthesis with genetic programming - Springer 2016, ISBN: 978-3-319-27563-5. 111-113 - Moshe Sipper:
Paul Rendell: Turing machine universality of the Game of Life - Springer International Publishing, Switzerland, XV, 177 (141 b/w illustrations), ISBN: eBook 978-3-319-19842-2, Hardcover 978-3-319-19841-5, Softcover 978-3-319-37044-6. 115-117 - Steven M. Corns:
James Keller, Derong Liu, and David Fogel: Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation - John Wiley and Sons, 2016, 378 pp, ISBN 978-1-110-21434-2. 119-120 - Lee Spector:
Acknowledgment to Reviewers. 121-122
Volume 18, Number 2, June 2017
- José María Valencia-Ramírez, Mario Graff, Hugo Jair Escalante, Jaime Cerdá Jacobo:
An iterative genetic programming approach to prototype generation. 123-147 - Alexandros Agapitos, Michael O'Neill, Ahmed Kattan, Simon M. Lucas:
Recursion in tree-based genetic programming. 149-183 - Andrew James Turner, Julian Francis Miller:
Recurrent Cartesian Genetic Programming of Artificial Neural Networks. 185-212 - Armand R. Burks, William F. Punch:
An analysis of the genetic marker diversity algorithm for genetic programming. 213-245 - Matthew L. Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
Solving metameric variable-length optimization problems using genetic algorithms. 247-277 - Emerson Carlos Pedrino, Paulo Cesar Donizeti Paris, Denis Pereira de Lima, Valentin Obac Roda:
Software review: CGP-Library. 279-281
Volume 18, Number 3, September 2017
- Shujun Gao, Clarence W. de Silva:
A univariate marginal distribution algorithm based on extreme elitism and its application to the robotic inverse displacement problem. 283-312 - Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks. 313-349 - Lee Spector:
Introduction to the peer commentary special section on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 351-352 - Peter A. Whigham, Grant Dick, James MacLaurin:
On the mapping of genotype to phenotype in evolutionary algorithms. 353-361 - Lee Altenberg:
Probing the axioms of evolutionary algorithm design: Commentary on "On the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 363-367 - Anikó Ekárt, Peter R. Lewis:
Genotype-phenotype mapping implications for genetic programming representation: Commentary on "On the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 369-372 - Douglas B. Kell:
Evolutionary algorithms and synthetic biology for directed evolution: commentary on "on the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 373-378 - Michael O'Neill, Miguel Nicolau:
Distilling the salient features of natural systems: Commentary on "On the mapping of genotype to phenotype in evolutionary algorithms" by Whigham, Dick and Maclaurin. 379-383 - Conor Ryan:
A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution: Commentary on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 385-389 - Giovanni Squillero, Alberto Paolo Tonda:
(Over-)Realism in evolutionary computation: Commentary on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 391-393 - James A. Foster:
Taking "biology" just seriously enough: Commentary on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. 395-398 - Peter A. Whigham, Grant Dick, James MacLaurin:
Just because it works: a response to comments on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms". 399-405 - Bing Xue:
Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms - Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3. 407-409
Volume 18, Number 4, December 2017
- Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia, J. Manuel Velasco:
A meta-grammatical evolutionary process for portfolio selection and trading. 411-431 - Marco Scirea, Julian Togelius, Peter W. Eklund, Sebastian Risi:
Affective evolutionary music composition with MetaCompose. 433-465 - Miguel Nicolau:
Understanding grammatical evolution: initialisation. 467-507 - Evelyne Lutton:
Gustavo Olague: Evolutionary computer vision, the first footprints - Springer, 2016, 400 pp, ISBN: 978-3-662-43692-9. 509-510
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-24 17:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
