Genetic Programming Bibliography entries for others

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GP coauthors/coeditors: Francisco Fernandez de Vega, Ivo Goncalves, Malcolm Heywood, Arend Hintze, Lukas Kammerer, Stephen Kelly, Arthur K Kordon, Miguel Nicolau, Charles Ofria, Gustavo Olague, Anil Kumar Saini, Moshe Sipper, Andrew N Sloss, Lee Spector, David Robert White, Yuan Yuan2,

Genetic Programming conference papers by others

  1. Yuan Yuan2 and others. An Evolutionary System for better automatic software repair. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  2. David R. White and others. Modelling Genetic Programming as a Simple Sampling Algorithm. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  3. Lee Spector and others. Comparison of Linear Genome Representations For Software Synthesis. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  4. Andrew Sloss and others. 2019 Evolutionary Algorithms Review. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  5. Moshe Sipper and others. New Pathways in Coevolutionary Computation. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  6. Anil Saini and others. Using Modularity Metrics to guide evolution in Genetic Programming. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  7. Gustavo Olague and others. Hands-on Artificial Evolution through Brain Programming. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  8. Charles Ofria and others. Characterizing the effects of random subsampling and dilution on Lexicase selection. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  9. Miguel Nicolau and others. Genetic Programming Symbolic Regression: What is the prior on the prediction?. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  10. Arthur Kordon and others. How competitive is GP in business data science applications?. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  11. Stephen Kelly and others. Temporal Memory Sharing in Visual Reinforcement Learning. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  12. Lukas Kammerer and others. Symbolic Regression by Exhaustive Search. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  13. Arend Hintze and others. The Evolution of Representations in Genetic Programming Trees. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  14. Malcolm Heywood and others. On the trials and tribulations of evolving a Dota 2 hero bot. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  15. Ivo Goncalves and others. Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details

  16. Francisco Fernandez de Vega and others. It is time for new perspectives on how to fight bloat in GP. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, East Lansing, MI, USA, 2019. details