Description: Representations for Genetic And Evolutionary Algorithms, Hardcover by Rothlauf, Franz, ISBN 354025059X, ISBN-13 9783540250593, Like New Used, Free shipping in the US In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given. This book breaks with this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. Th 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. Th is written in an easy-readable 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.
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Book Title: Representations for Genetic And Evolutionary Algorithms
Number of Pages: Xvii, 325 Pages
Language: English
Publication Name: Representations for Genetic and Evolutionary Algorithms
Publisher: Springer Berlin / Heidelberg
Publication Year: 2006
Subject: Group Theory, Programming / General, Engineering (General), Programming / Algorithms, Intelligence (Ai) & Semantics, Algebra / General, Applied
Features: Revised
Item Weight: 24.1 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Author: Franz Rothlauf
Item Width: 6.1 in
Format: Hardcover
