Genetic Systems Programming: Theory and Experiences / Edition 1

Genetic Systems Programming: Theory and Experiences / Edition 1

by Ajith Abraham
     
 

ISBN-10: 3540298495

ISBN-13: 9783540298496

Pub. Date: 03/01/2006

Publisher: Springer Berlin Heidelberg

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

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Overview

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.

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Product Details

ISBN-13:
9783540298496
Publisher:
Springer Berlin Heidelberg
Publication date:
03/01/2006
Series:
Studies in Computational Intelligence Series, #13
Edition description:
2006
Pages:
234
Product dimensions:
9.21(w) x 6.14(h) x 0.63(d)

Related Subjects

Table of Contents

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.- Sk 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.

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