Representations for Genetic and Evolutionary Algorithms /

Representations for Genetic and Evolutionary Algorithms /

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Bibliographic Details
Author / Creator:Rothlauf, Franz.
Imprint:Heidelberg : Physica-Verlag HD, 2002.
Description:1 online resource (xiv, 289 pages 99 illustrations).
Language:English
Series:Studies in Fuzziness and Soft Computing, 1434-9922 ; 104
Studies in fuzziness and soft computing ; 104.
Subject:
Computer science.
Artificial intelligence.
Engineering mathematics.
Artificial intelligence.
Computer science.
Engineering mathematics.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11079067
Hidden Bibliographic Details
ISBN:9783642880940
3642880940
9783642880964
3642880967
Summary: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.
Other form:Print version: 9783642880964
Standard no.:10.1007/978-3-642-88094-0

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