Get Free Shipping on orders over $79
Representations for Genetic and Evolutionary Algorithms : Studies in Fuzziness and Soft Computing - D.E. Goldberg

Representations for Genetic and Evolutionary Algorithms

By: D.E. Goldberg (Foreword by), Franz Rothlauf

Paperback | 18 April 2012

At a Glance

Paperback


$84.99

or 4 interest-free payments of $21.25 with

 or 

Ships in 5 to 7 business days

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.

More in Artificial Intelligence

The Tech Coup : How to Save Democracy from Silicon Valley - Marietje Schaake
Creative Machines : AI, Art & Us - Maya Ackerman

RRP $57.95

$44.75

23%
OFF
The Shortest History of AI - Toby Walsh

RRP $27.99

$22.75

19%
OFF
Transforming Cybersecurity with Machine Learning - Al-Sakib Khan Pathan

RRP $252.00

$219.75

13%
OFF
Transforming Cybersecurity with Machine Learning - Al-Sakib Khan Pathan
Ideal Subjects Volume 76 : The Abstract People of AI - Olga Goriunova

RRP $270.00

$236.75

12%
OFF
Life 3.0 : Being Human in the Age of Artificial Intelligence - Max Tegmark
Co-Intelligence : Living and Working with AI - Ethan Mollick

RRP $36.99

$29.75

20%
OFF
How We Learn : The New Science of Education and the Brain - Stanislas Dehaene
Current Trends in Automated Reasoning - Erika Bach