Show variable number of parameters each iteration
Added EADE algorithm

EADE is an eigenvector-ratio self-adaptive differential evolution. The
value of eigenvector-ratio is self-adaptive in JADE's way. In the other
hand, the self-adaptiv mechanism of F is modified with a variable
standard deviation: 2 * mu_F * delta_F which may improve its
performance. In addition, the initial parameter of mu_F is modified to
1.0 to improve some exploration power.