Algorithm 1. MGISES-oriented parameter optimization

Input: ${\gamma }_{\min },{\gamma }_{\max },{\tau }_{\min },{\tau }_{\max }$

1. Determine the resolution $\mathrm{\Delta }\gamma$ and $\mathrm{\Delta }\tau$

2. Calculate MGISES(i, j)

for i = 1:I

for j = 1:J

$\gamma (i)={\gamma }_{\min }+\mathrm{\Delta }\gamma \times (i-1)$, $\tau (i)={\tau }_{\min }+\mathrm{\Delta }\tau \times (j-1)$

Calculate MGISES(i, j) according to $\gamma (i)$ and $\tau (j)$

while $\gamma (i)\ge {\gamma }_{\max }\&\tau (j)\ge {\tau }_{\max }$

break

end

end

end

Output: Parameters $\gamma$ and $\tau$ with the maximum MGISES