Genetic Programming Theory and Practice VII
Springer-Verlag New York Inc.
978-1-4614-2501-4 (ISBN)
About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
GPTP 2009: An Example of Evolvability.- Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics.- Evolving Coevolutionary Classifiers Under Large Attribute Spaces.- Symbolic Regression Via Genetic Programming as a Discovery Engine: Insights on Outliers and Prototypes.- Symbolic Regression of Implicit Equations.- A Steady-State Version of the Age-Layered Population Structure EA.- Latent Variable Symbolic Regression for High-Dimensional Inputs.- Algorithmic Trading with Developmental and Linear Genetic Programming.- High-Significance Averages of Event-Related Potential Via Genetic Programming.- Using Multi-Objective Genetic Programming to Synthesize Stochastic Processes.- Graph Structured Program Evolution: Evolution of Loop Structures.- A Functional Crossover Operator for Genetic Programming.- Symbolic Regression of Conditional Target Expressions.
Reihe/Serie | Genetic and Evolutionary Computation |
---|---|
Zusatzinfo | 100 Illustrations, black and white; XIV, 231 p. 100 illus. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Artificial Intelligence • Automatic Programming • evolutionary computation • Evolution of Models • Genetic algorithms • Genetische Programmierung • Problem Solving • Search algorithms • Symbolic Regression |
ISBN-10 | 1-4614-2501-8 / 1461425018 |
ISBN-13 | 978-1-4614-2501-4 / 9781461425014 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich