The fourth issue of Volume 19 of Genetic Programming and Evolvable Machines is now available for download.
It contains:
Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms
by Iztok Fajfar, Árpád Bűrmen & Janez Puhan
Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms
by Azam Shirali, Javidan Kazemi Kordestani & Mohammad Reza Meybodi
Comparison of semantic-based local search methods for multiobjective genetic programming
by Tiantian Dou & Peter Rockett
BOOK REVIEW
Alain Pétrowski and Sana Ben-Hamida: Evolutionary Algorithms
by Keith Downing
BOOK REVIEW
Kathryn E. Merrick: Computational models of motivation for game-playing agents
by Spyridon Samothrakis
BOOK REVIEW
Ryan J. Urbanowicz and Will N. Browne: Introduction to learning classifier systems
by Analía Amandi
About the GPEMjournal blog
This is the editor's blog for the journal Genetic Programming and Evolvable Machines. The official web site for the journal, maintained by the publisher (Springer) is here. The GPEMjournal blog is authored and maintained by Lee Spector.
Friday, September 14, 2018
GPEM 19(3) is now available
The third issue of Volume 19 of Genetic Programming and Evolvable Machines, a special issue on genetic programming, evolutionary computation and visualization, edited by Nadia Boukhelifa & Evelyne Lutton, is now available for download.
It contains:
Guest editorial: Special issue on genetic programming, evolutionary computation and visualization
by Nadia Boukhelifa & Evelyne Lutton
Visualising the global structure of search landscapes: genetic improvement as a case study
by Nadarajen Veerapen & Gabriela Ochoa
Unveiling evolutionary algorithm representation with DU maps
by Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves & Tea Tušar
Data exploration in evolutionary reconstruction of PET images
by Cameron C. Gray, Shatha F. Al-Maliki & Franck P. Vidal
Visualisation with treemaps and sunbursts in many-objective optimisation
by David J. Walker
VALIS: an evolutionary classification algorithm
by Peter Karpov, Giovanni Squillero & Alberto Tonda
It contains:
Guest editorial: Special issue on genetic programming, evolutionary computation and visualization
by Nadia Boukhelifa & Evelyne Lutton
Visualising the global structure of search landscapes: genetic improvement as a case study
by Nadarajen Veerapen & Gabriela Ochoa
Unveiling evolutionary algorithm representation with DU maps
by Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves & Tea Tušar
Data exploration in evolutionary reconstruction of PET images
by Cameron C. Gray, Shatha F. Al-Maliki & Franck P. Vidal
Visualisation with treemaps and sunbursts in many-objective optimisation
by David J. Walker
VALIS: an evolutionary classification algorithm
by Peter Karpov, Giovanni Squillero & Alberto Tonda
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