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...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , , |
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.