Extending the Scalability of Linkage Learning Genetic Algorithms Theory & Practice /
Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, unable to learn linkage among genes, most GAs employed in practice nowadays suffer from the linkage problem, which refers to the need of appropr...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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Σειρά: | Studies in Fuzziness and Soft Computing,
190 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Genetic Algorithms and Genetic Linkage
- Genetic Linkage Learning Techniques
- Linkage Learning Genetic Algorithm
- Preliminaries: Assumptions and the Test Problem
- A First Improvement: Using Promoters
- Convergence Time for the Linkage Learning Genetic Algorithm.-Introducing Subchromosome Representations
- Conclusions.