Representations for Genetic and Evolutionary Algorithms by Franz Rothlauf

Representations for Genetic and Evolutionary Algorithms by Franz Rothlauf

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 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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ISBN 13
Title	Representations for Genetic and Evolutionary Algorithms
Author	Franz Rothlauf
Condition	Unavailable
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Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.