Genetic Programming Theory and Practice XVI

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Banzhaf, Wolfgang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Spector, Lee (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sheneman, Leigh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Genetic and Evolutionary Computation,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1 Exploring Genetic Programming Systems with MAP-Elites
  • 2 The Evolutionary Buffet Method
  • 3 Emergent Policy Discovery for Visual Reinforcement Learning through Tangled Program Graphs: A Tutorial
  • 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification
  • 5 Cluster Analysis of a Symbolic Regression Search Space
  • 6 What else is in an evolved name? Exploring evolvable specificity with SignalGP
  • Lexicase Selection Beyond Genetic Programming
  • 8 Evolving developmental programs that build neural networks for solving multiple problems
  • 9 The Elephant in the Room - Towards the Application of Genetic Programming to Automatic Programming
  • 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal
  • 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.