• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 27 matches

• 2018
• 
  Analía Amandi:
  Ryan J. Urbanowicz, and Will N. Browne: Introduction to learning classifier systems - Springer, 2017, 123 pp, ISBN 978-3-662-55007-6. Genet. Program. Evolvable Mach. 19(4): 569-570 (2018)
• 
  Nadia Boukhelifa, Evelyne Lutton:
  Guest editorial: Special issue on genetic programming, evolutionary computation and visualization. Genet. Program. Evolvable Mach. 19(3): 313-315 (2018)
• 
  Tiantian Dou, Peter I. Rockett:
  Comparison of semantic-based local search methods for multiobjective genetic programming. Genet. Program. Evolvable Mach. 19(4): 535-563 (2018)
• 
  Keith L. Downing:
  Alain Pétrowski and Sana Ben-Hamida: Evolutionary Algorithms - John Wiley and Sons, Inc., Hoboken, New Jersey, USA, 2017, ISBN-13: 978-1848218048, ISBN-10: 1848218044. Genet. Program. Evolvable Mach. 19(4): 565-566 (2018)
• 
  Marko Durasevic, Domagoj Jakobovic:
  Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment. Genet. Program. Evolvable Mach. 19(1-2): 9-51 (2018)
• 
  Marko Durasevic, Domagoj Jakobovic:
  Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment. Genet. Program. Evolvable Mach. 19(1-2): 53-92 (2018)
• 
  Iztok Fajfar, Árpád Bürmen, Janez Puhan:
  Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms. Genet. Program. Evolvable Mach. 19(4): 473-504 (2018)
• 
  Oscar Garnica, Kyrre Glette, Jim Tørresen:
  Comparing three online evolvable hardware implementations of a classification system. Genet. Program. Evolvable Mach. 19(1-2): 211-234 (2018)
• 
  Juan-Carlos Gomez, Hugo Terashima-Marín:
  Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems. Genet. Program. Evolvable Mach. 19(1-2): 151-181 (2018)
• 
  Cameron C. Gray, Shatha F. Al-Maliki, Franck Patrick Vidal:
  Data exploration in evolutionary reconstruction of PET images. Genet. Program. Evolvable Mach. 19(3): 391-419 (2018)
• 
  Jeff Heaton:
  Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning - The MIT Press, 2016, 800 pp, ISBN: 0262035618. Genet. Program. Evolvable Mach. 19(1-2): 305-307 (2018)
• 
  Peter Karpov, Giovanni Squillero, Alberto Paolo Tonda:
  VALIS: an evolutionary classification algorithm. Genet. Program. Evolvable Mach. 19(3): 453-471 (2018)
• 
  Rinde R. S. van Lon, Jürgen Branke, Tom Holvoet:
  Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics. Genet. Program. Evolvable Mach. 19(1-2): 93-120 (2018)
• 
  Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves, Tea Tusar:
  Unveiling evolutionary algorithm representation with DU maps. Genet. Program. Evolvable Mach. 19(3): 351-389 (2018)
• 
  Jack Mario Mingo, Ricardo Aler:
  Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution. Genet. Program. Evolvable Mach. 19(1-2): 235-270 (2018)
• 
  David Moskowitz:
  Implementing the template method pattern in genetic programming for improved time series prediction. Genet. Program. Evolvable Mach. 19(1-2): 271-299 (2018)
• 
  Su Nguyen, Yi Mei, Mengjie Zhang:
  Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation. Genet. Program. Evolvable Mach. 19(1-2): 5-7 (2018)
• 
  Spyridon Samothrakis:
  Kathryn E. Merrick: Computational models of motivation for game-playing agents - Springer, 2016, 213 pp, ISBN: 978-3-319-33457-8. Genet. Program. Evolvable Mach. 19(4): 567-568 (2018)
• 
  Ofer M. Shir:
  Christian Blum and Günther R. Raidl: Hybrid metaheuristics - powerful tools for optimization - Springer International Publishing, Switzerland, 2016, 157 pp, ISBN: 978-3-319-30882-1. Genet. Program. Evolvable Mach. 19(1-2): 309-311 (2018)
• 
  Azam Shirali, Javidan Kazemi Kordestani, Mohammad Reza Meybodi:
  Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms. Genet. Program. Evolvable Mach. 19(4): 505-534 (2018)
• 
  Lee Spector:
  Editorial introduction. Genet. Program. Evolvable Mach. 19(1-2): 1-2 (2018)
• 
  Lee Spector:
  Acknowledgment to reviewers. Genet. Program. Evolvable Mach. 19(1-2): 3-4 (2018)
• 
  Ayad Turky, Nasser R. Sabar, Andy Song:
  Cooperative evolutionary heterogeneous simulated annealing algorithm for google machine reassignment problem. Genet. Program. Evolvable Mach. 19(1-2): 183-210 (2018)
• 
  Nadarajen Veerapen, Gabriela Ochoa:
  Visualising the global structure of search landscapes: genetic improvement as a case study. Genet. Program. Evolvable Mach. 19(3): 317-349 (2018)
• 
  David J. Walker:
  Visualisation with treemaps and sunbursts in many-objective optimisation. Genet. Program. Evolvable Mach. 19(3): 421-452 (2018)
• 
  Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders:
  A hyperheuristic approach based on low-level heuristics for the travelling thief problem. Genet. Program. Evolvable Mach. 19(1-2): 121-150 (2018)
• 
  Christine Zarges:
  Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead - The MIT Press, 2016, pp 312, ISBN: 9780262035224. Genet. Program. Evolvable Mach. 19(1-2): 301-303 (2018)