Genetic Programming Theory and Practice XII
Mark Kotanchek (Hrsg.), Rick Riolo (Hrsg.), William P. Worzel (Hrsg.)
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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: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. 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
Symbolic regression, Feature selection, algorithm analysis and problem complexity, Genetic programming theory, Genetic programming, Program induction, Artificial evolution, Genetic programming applications, Evolution of models