http://www.springer.com/series/7373?changeHeader is the source of the following.
Researchers and practitioners alike are increasingly turning to search, optimization, and machine-learning procedures based on natural selection and genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of genetic programming and other forms of evolutionary computation are solving problems and inventing new hardware and software that rival human designs. The Genetic and Evolutionary Computation Book Series publishes research monographs, edited collections, and graduate-level texts on this rapidly growing field. Areas of coverage include applications, theoretical foundations, technique extensions and implementation issues of all areas of genetic and evolutionary computation including genetic algorithms (GAs), genetic programming (GP), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). -- You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to algogeeks@googlegroups.com. To unsubscribe from this group, send email to algogeeks+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/algogeeks?hl=en.
