Buch, Englisch, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 477 g
Buch, Englisch, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 477 g
Reihe: Genetic and Evolutionary Computation
ISBN: 978-3-319-90511-2
Verlag: Springer International Publishing
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.
Zielgruppe
Research
