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Representations for Genetic and Evolutionary Algorithms [Dark Demon] [h33t] (22S/6L)

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  • Size:
    5.5 MB
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  • Added:
    02/15/2009
  • Last check:
    2009-06-08 04:21:47
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  • Comments:
    <br /> ===============================================<br /> Author : Franz Rothlauf<br /> Publisher : Physica-Verlag <br /> Language : English<br /> Format : pdf<br /> ISBN-10 : 3790814962<br /> ISBN-13 : 978-3790814965<br /> ================================================<br /> <br /> <br /> In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem <br /> <br /> representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of <br /> <br /> representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book <br /> <br /> considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed <br /> <br /> theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer <br /> <br /> optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.<br /> <br /> <span style="font-weight: bold;">Thank you for the comments and helping me with seeding</span><!--bold-->
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