ENGLISH

Representations for Genetic and Evolutionary Algorithms

By Dr. Franz Rothlauf (auth.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
2002
ISBN
978-3-642-88096-4, 978-3-642-88094-0
DOI
10.1007/978-3-642-88094-0
Language
english
Format
PDF
Filesize
14 MB (14786903 bytes)
Series
Studies in Fuzziness and Soft Computing 104
Edition
1
Pages
290\294
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics); Appl.MatManagement Science

Description

In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.

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