ENGLISH

Representations for Genetic and Evolutionary Algorithms

By Franz Rothlauf

Book information

Publisher
Springer
Year
2006
ISBN
9783540250593, 3-540-25059-X
Open Library ID
OL9055375M
Language
english
Format
PDF
Filesize
5 MB (5716109 bytes)
Edition
2nd ed
Pages
334\334
Library
mexmat
Time added
2009-07-20 03:45:11

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.

Similar books