Genetic Programming Theory and Practice VI - new book

EAN (ISBN-13): 9780387876238
Publishing year: 2008
Publisher: Springer-Verlag
274 Pages
Language: eng/Englisch

Book in our database since 2007-01-29T19:57:31+00:00 (London)
Detail page last modified on 2024-02-18T15:26:45+00:00 (London)
ISBN/EAN: 9780387876238

ISBN - alternate spelling:
978-0-387-87623-8
Alternate spelling and related search-keywords:
Book author: rio, wörz, worzel, wiley peter
Book title: the practice programming, theory

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Information from Publisher

Author: Rick Riolo
Title: Genetic and Evolutionary Computation; Genetic Programming Theory and Practice VI
Publisher: Springer; Springer US
274 Pages
Publishing year: 2008-11-01
New York; NY; US
Language: English
99,00 € (DE)

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Computerprogrammierung und Softwareentwicklung; Verstehen; Artificial Intelligence; Automatic Programming; Computer Science; Evolution of Models; Evolutionary Computation; Genetic Algorithms; Problem Solving; Search Algorithms; Symbolic Regression; algorithms; classification; complexity; evolution; genetic programming; knowledge; algorithm analysis and problem complexity; B; Programming Techniques; Artificial Intelligence; Theory of Computation; Algorithms; Computer Science; Künstliche Intelligenz; Theoretische Informatik; Algorithmen und Datenstrukturen; BB

Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan's Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. These contributions address several significant inter-dependent themes which emerged from this year's workshop, including: Making efficient and effective use of test data Sustaining the long term evolvability of our GP systems Exploiting discovered subsolutions for reuse Increasing the role of a Domain Expert In the course of investigating these themes, the chapters describe a variety of techniques in widespread use among practitioners who deal with industrial-scale, real-world problems, such as: Pareto optimization, particularly as a means to limit solution complexity Various types of age-layered populations or niching mechanisms Data partitioning, a priori or adaptively, e.g., via co-evolution Cluster computing or general purpose graphics processors for parallel computing Ensemble/team solutions This work covers applications of GP to a host of domains, including bioinformatics, symbolic regression for system modeling in various settings, circuit design, and financial modeling to support portfolio management. This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.