Franz Rothlauf – Representations for Genetic & Evolutionary Algorithms
Sale Page : Franz Rothlauf
This product is available
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.
Over the last 5 years we have helped over 5000 members save a great deal of money on buying online courses, By changing the internal values which are more about member benefits, we have created a completely superior upgrade version with various features as well as the automatic system that surely will offer you a new different experience with more benefits , more time, and cost reduction. We definetely will do our best to help 20,000 community members save 80-100% on online courses over the next 20 to 50 years . Let’s start to see what we have.