Applied Evolutionary Algorithms in Java
Ghanea-Hercock, Robert
Produktnummer:
181a833f7174524278ba276256a36765cc
Autor: | Ghanea-Hercock, Robert |
---|---|
Themengebiete: | Algorithms Cyc Syntax artificial life evolutionary algorithm evolutionary computation genetic programming image processing machine learning optimization |
Veröffentlichungsdatum: | 30.04.2003 |
EAN: | 9780387955681 |
Sprache: | Englisch |
Seitenzahl: | 219 |
Produktart: | Gebunden |
Verlag: | Springer US |
Produktinformationen "Applied Evolutionary Algorithms in Java"
Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The JAVA-based toolkit provides an easy-to-use and essential visual interface, with integrated graphing and analysis tools. Topics and features: inclusion of a complete JAVA toolkit for exploring evolutionary algorithms; strong use of visualization techniques, to increase understanding; coverage of all major evolutionary algorithms in common usage; broad range of industrially based example applications; includes examples and an appendix based on fuzzy logic.

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