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.K-Team (1999) Khepera User Manual, a Lasuanne, Switzerland 2. ... Max-Planck Institute for Mathematics in the Sciences, Leipzig, Germany Haykin S (1999), Neural Networks: a Comprehensive Foundation, Second edition, Prentice Hall, anbsp;...
|Title||:||Genetic Systems Programming|
|Publisher||:||Springer - 2008-07-21|