Riolo / Vladislavleva / Ritchie Genetic Programming Theory and Practice X
2013
ISBN: 978-1-4614-6846-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 242 Seiten, eBook
Reihe: Genetic and Evolutionary Computation
ISBN: 978-1-4614-6846-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Evolving SQL Queries from Examples with Developmental Genetic Programming.- A Practical Platform for On-Line Genetic Programming for Robotics.- Cartesian Genetic Programming for Image Processing.- A new mutation paradigm for Genetic Programming.- Introducing an Age-Varying Fitness Estimation Function.- EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System.- Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-Processing.- Meta-dimensional analysis of phenotypes using the Analysis Tool for Heritable and Environmental Network Associations.- A Baseline Symbolic Regression Algorithm.- Symbolic Regression Model Comparison Approach Using Transmitted Variation.- A Framework for the Empirical Analysis of Genetic Programming System Performance.- More or Less? Two Approaches to Evolving Game-Playing Strategies.- Symbolic Regression is Not Enough.- FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud.- Representing Communication and Learning in Femtocell Pilot Power Control Algorithms.