Evolutionary Programming o First developed by lawrence Fogel in 1966 for use in pattern learning a Early experiments dealt with a number of Finite State Automata a FSA were developed that could recognise recurring patterns and even primeness of numbers a Later experiments dealt with gaming problems (coevolution) a More recently has been applied to training of neural networks, function optimisation path planning problemsEvolutionary Programming ❑ First developed by Lawrence Fogel in 1966 for use in pattern learning ❑ Early experiments dealt with a number of Finite State Automata ❑ FSA were developed that could recognise recurring patterns and even primeness of numbers ❑ Later experiments dealt with gaming problems (coevolution) ❑ More recently has been applied to training of neural networks, function optimisation & path planning problems