Genetic Programming Theory and Practice XIII
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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: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. 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
Semantic programming, Machine learning, Lexicase selection, Genetic programming, algorithm analysis and problem complexity, Feature generation, Symbolic regression, Geometric programming, Singularity, Cloud computing, Data science, Evolutionary algorithms, Multi-objective optimization, Big data, Hyper heuristics