Algorithm 1 BAS Algorithm.

Objective Function: $F\left(X,\mathit{O}\right)$ DBAS Initialization: $\eta =0.99$ $d=0.9$ $\tau =0.9$ Portfolio Initialization: $T=iter$ $D=dim$ $X=\mathrm{randn}(1,D)$ $\mathit{O}=[{\mathbf{M}}_n,{\mathbf{C}}_n]$$M_n:$ Mean ${\mathbf{C}}_n:$ Covariance ${\mathit{F}}_{\mathbf{best}}=F\left(X,\mathbf{P}\right)$ $X_{\mathbf{best}}=X$ For$i=1:T$        $\mathbf{b}=\mathrm{randn}(1,D)$        Compute $X_r$ and $X_l$ using (29) and (30)        Compute $F_r$ and $F_l$ suing (31) and (32)        Compute $X$ using (34)        $\mathit{F}=F\left(X,\mathit{O}\right)$                If$F_{min}<F_{best}:$                $F_{best}=F_{max}$                $X_{\mathbf{best}}=X$        Else:               $X=X_{\mathbf{best}}$        End If                $d=\eta d+0.01$        $\tau =\eta \tau$ End For