Genetic Programming Theory and Practice XV
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Informatik
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.
Kundenbewertungen
Genetic Programming Theory, Genetic Programming, Program Induction, Symbolic Regression, Artificial Evolution, Evolution of Models, algorithm analysis and problem complexity, Symbolic Classification, Data Analysis, Genetic Programming Applications, Machine Learning