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Beschreibung
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: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 22. Dezember 2018 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 318 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030080310 |
| Seiten | 187 |
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