Genetic systems programming : theory and experiences

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 evol...

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Hlavní autor: Nedjah, Nadia
Další autoři: Abraham, Ajith, 1968-...., chercheur en informatique (Šéfredaktor, odpovědný redaktor), Mourelle, Luiza de Macedo (Šéfredaktor, odpovědný redaktor), Koza, John R. (Autor úvodu atd.)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin ; Heidelberg : Springer [20..].
Cham : Springer Nature
Edice:Studies in computational intelligence vol. 13
Studies in Computational Intelligence 13
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Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Genetic Systems Programming, Texte imprimé, 9783540298496
• Genetic Systems Programming, Texte imprimé, 9783540817499
• Genetic Systems Programming, Texte imprimé, 9783642067532
• Genetic Systems Programming, Texte imprimé, 9783540298496
Popis
Shrnutí: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
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografie:Notes bibliogr. en fin de chapitres. Index
ISBN:3540324984 (en ligne)
9783540324980
ISSN:1860-9503
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