Representations for Genetic and Evolutionary Algorithms

• Main Author: Rothlauf, Franz (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Subjects: Engineering.; Operations research.; Decision making.; Information technology.; Business > Data processing.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Operation Research/Decision Theory.; IT in Business.

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has focused on operators and test problems, while problem representation has often been taken as given. This book breaks away from this tradition and provides a comprehensive overview on the infl...

Table of Contents:

• Representations for Genetic and Evolutionary Algorithms
• Three Elements of a Theory of Representations
• Time-Quality Framework for a Theory-Based Analysis and Design of Representations
• Analysis of Binary Representations of Integers
• Analysis and Design of Representations for Trees
• Analysis and Design of Search Operators for Trees
• Performance of Genetic and Evolutionary Algorithms on Tree Problems
• Summary and Conclusions.