Representations for Genetic and Evolutionary Algorithms

• Main Author: Rothlauf, Franz (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Edition: 1st ed. 2002.
• Series: Studies in Fuzziness and Soft Computing, 104
• Subjects: Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Operations research.; Decision making.; Management science.; Artificial Intelligence.; Mathematical and Computational Engineering.; Operations Research/Decision Theory.; Operations Research, Management Science.

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 r...