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 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.
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.
| ISBN: | 9783642067532 |
|---|---|
| Sprache: | Englisch |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Abraham, Ajith |
| Verlag: | Springer Nature EN |
| Veröffentlicht: | 12.02.2010 |
| Untertitel: | Theory and Experiences |
| Schlagworte: | Artificial Intelligence C Engineering—Data processing Evolution Künstliche Intelligenz Mathematical and Computational Engineering Mathematical and Computational Engineering Applications Modeling Operating System Programming Robot engineering evolutionary computation genetic algorithms genetic programming microcontroller |
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