Genetic Algorithms and Genetic Programming


Authors: Michael Affenzeller, Stefan Wanger, Stephan Winkler, Andreas Beham

ISBN: 9781584886297

Copy Right Year:  2009

Pages:  396

Binding: Soft Cover

Publisher:  Taylor & Francis

SKU: 9781584886297 Category:


Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithms developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as platforms for algorithms 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.

Additional information

Weight .5 kg
Dimensions 23 × 15 × 2 cm

Table of Content

Simulating Evolution: Basic about Genetic Algorithms

Evolving Programs: Genetic Programming

Problems and Success Factors

Preservation of Relevant Building Blocks

SASEGASA- More than the Sum of All Parts

Analysis of Population Dynamics

Characteristics of Offspring Selection and the RAPGA

Evolutionary System Identification

Applications of Genetic Algorithms: Combinatorial Optimization

Data-Based Modeling with Genetic Programming

Conclusion and Outlook

Symbols and Abbreviations





There are no reviews yet.

Be the first to review “Genetic Algorithms and Genetic Programming”

Your email address will not be published. Required fields are marked *

New Product Tab

Here's your new product tab.