On rotationally invariant continuous-parameter genetic algorithms
We show that the standard CPGA is rotationally variant. We then construct a rotationally invariant CPGA. We ensure diversity using a modified mutation scheme. We also ensure diversity by adding a self-scaling random vector.
mutation continuous parameter genetic algorithm rotational variance crossover