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Representations for Genetic and Evolutionary Algorithms

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...

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Bibliographic Details
Main Author: Rothlauf, Franz
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:2nd ed. 2006
Subjects:
Operations Research
Engineering Mathematics
Artificial Intelligence
It In Business
Engineering / Data Processing
Operations Research And Decision Theory
Business Information Services
Mathematical And Computational Engineering Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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