Genetic Systems Programming

Theory and Experiences

Buch | Hardcover

XXII, 234 Seiten

2006
Springer Berlin (Verlag)
978-3-540-29849-6 (ISBN)

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Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.

Evolutionary Computation: from Genetic Algorithms to Genetic Programming.- Automatically Defined Functions in Gene Expression Programming.- Evolving Intrusion Detection Systems.- Evolutionary Pattern Matching Using Genetic Programming.- Genetic Programming in Data Modelling.- Stock Market Modeling Using Genetic Programming Ensembles.- Evolutionary Digital Circuit Design Using Genetic Programming.- Evolving Complex Robotic Behaviors Using Genetic Programming.- Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming.

Erscheint lt. Verlag	12.1.2006
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XXII, 234 p. 114 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	193 x 270 mm
Gewicht	500 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	algorithms • Circuit Design • Computational Intelligence • Data Mining • Design • Evolution • evolutionary computation • Genetic algorithms • genetic programming • Genetic Systems Programming • Genetische Algorithmen • Microcontroller • Modeling • operating system • Pattern Matching • programming • robot
ISBN-10	3-540-29849-5 / 3540298495
ISBN-13	978-3-540-29849-6 / 9783540298496
Zustand	Neuware