Genetic engineering

SEMINAR ON Genetic engineering : Genetic programming has recently emerged as an important paradigm for the automatic generation of computer programs. GP combines metaphors drawn from evolutionary biology with computer science techniques to produce algorithms and programs automatically.From very beginning, man has tried to develop machines that could replace the need for people for many applications, equipment that requires very little support from people. Research is underway to develop machines that can produce artificial components in the results with the least amount of human intelligence. In this context, the practitioner assumes a special significance.


During the last decade, artificial evolution of computer code has become a technology spread rapidly to many ramifications. Initially conceived as a means to enforce artificial intelligence, is now common in many areas of machine learning and is currently conquering many areas.


Genetic programming has recently emerged as an important paradigm for the automatic generation of computer programs. GP combines the metaphors of biological evolution with computer technology to produce algorithms and software automatically.

In the long run, genetic programming revolutionize the development of the program. Current methods do not mature enough for implementation of automatic scheduling. However, GP has already made inroads in the auto program and will continue