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Representations for Genetic and Evolutionary Algorithms: 104 (Studies in Fuzziness and Soft Computing) - Softcover

 
9783642880964: Representations for Genetic and Evolutionary Algorithms: 104 (Studies in Fuzziness and Soft Computing)

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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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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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Franz Rothlauf
ISBN 10: 3642880967 ISBN 13: 9783642880964
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Taschenbuch. Zustand: Neu. Neuware -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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. Artikel-Nr. 9783642880964

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Rothlauf, Franz E.
Verlag: Physica, 2012
ISBN 10: 3642880967 ISBN 13: 9783642880964
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Franz Rothlauf
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Paperback. Zustand: Brand New. reprint edition. 303 pages. 9.25x6.10x0.80 inches. In Stock. Artikel-Nr. x-3642880967

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