- author = "Michael Affenzeller and Stephan Winkler and Stefan Wagner and Andreas Beham",
- title = "Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications",
- publisher = "CRC Press",
- year = "2009",
- series = "Numerical Insights",
- address = "Singapore",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "1-58488-629-3",
-
URL = "
http://gagp2009.heuristiclab.com/",
-
URL = "http://www.crcpress.com/product/isbn/9781584886297",
-
abstract = "Genetic Algorithms and Genetic Programming: Modern
Concepts and Practical Applications discusses
algorithmic developments in the context of genetic
algorithms (GAs) and genetic programming (GP). It
applies the algorithms to significant combinatorial
optimisation problems and describes structure
identification using HeuristicLab as a platform for
algorithm development. The book focuses on both
theoretical and empirical aspects. The theoretical
sections explore the important and characteristic
properties of the basic GA as well as main
characteristics of the selected algorithmic extensions
developed by the authors. In the empirical parts of the
text, the authors apply GAs to two combinatorial
optimisation problems: the traveling salesman and
capacitated vehicle routing problems. To highlight the
properties of the algorithmic measures in the field of
GP, they analyze GP-based nonlinear structure
identification applied to time series and
classification problems.
Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.",
-
notes = "Reviewed in \cite{Pappa:2009:GPEM}. My copy missing
pages i to vi.
",
- size = "379 pages",
