Evolutionary 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 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