Representations for Genetic & Evolutionary Algorithms by Franz Rothlauf

Franz-Rothlauf-Representations-for-Genetic-Evolutionary-Algorithms
03
Dec
$19.00

Courses Infomation

Representations for Genetic & Evolutionary Algorithms by Franz Rothlauf

 width=

Representations for Genetic & Evolutionary Algorithms by Franz Rothlauf

**More information:

Description

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

FROM THE BACK COVER

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has focused on operators and test problems, while problem representation has often been taken as given. This book breaks away from this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance.
The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently.
The book is written in an easy-to-read style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.

 

Salepage : Representations for Genetic & Evolutionary Algorithms by Franz Rothlauf

About Author

<author content>

More From Categories :   Other Trading

Course Content

Curriculum is empty

Instructor

Admin bar avatar

The world's leading collection of online courses, you can find the courses you need at Crabprofit.com. Please contact me if you need more information.

0.0

0 rating

5 stars
0%
4 stars
0%
3 stars
0%
2 stars
0%
1 star
0%
$19.00

30-Day Money-Back Guarantee

Includes

  • Comodo SSL encryp
  • Learn Anywhere on any device
  • Lifetime Support
  • Full lifetime access
  • Language: English