Representations for Genetic and Evolutionary Algorithms
Rothlauf, Franz
Verkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Neu - Softcover
Zustand: Neu
Anzahl: 15 verfügbar
In den Warenkorb legenVerkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Zustand: Neu
Anzahl: 15 verfügbar
In den Warenkorb legenSeries: Studies in Fuzziness and Soft Computing. Num Pages: 304 pages, 53 black & white tables, biography. BIC Classification: KJT; TBJ; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 16. Weight in Grams: 474. . 2012. Softcover reprint of the original 1st ed. 2002. Paperback. . . . . Books ship from the US and Ireland.
Bestandsnummer des Verkäufers V9783642880964
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.
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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