* GA's work with string coding of variables instead of variables.so that coding discretising
the search space even though the function is continuous.
* GA's work with population of points instead of single point.
* In GA's previously found good infomation is emphasizedusing reproduction operator
and propagated adaptively through crossover and mutation operators.
* GA does not require any auxillary informationexcept yhe objective function values.
* GA uses the probabilities in their operators.
This nature of narrowing the search spaceas the search progresses ,is adaptive andis the unique characteristic of Genetic Algorithms.