A Novel Algorithm of Stochastic Chance-Constrained Linear Programming and Its Application

Table 1

The solutions and their probabilities 𝜃^∗∈𝐷.

Number	Solution (𝑥1,𝑥2)	𝑥1+𝑥2	𝑃(𝜃^∗∈𝐷)
1	(2.20, 2.62)	4.82	0.37
2	(2.13, 2.68)	4.81	0.38
3	(1.46, 3.40)	4.86	0.45
4	(1.13, 3.34)	4.48	0.16
5	(1.75, 2.50)	4.26	0.11
6	(0.95, 3.44)	4.39	0.05
7	(3.18, 1.66)	4.84	0.37
8	(0.95, 3.23)	4.19	0.00
9	(1.70, 3.03)	4.74	0.36
10	(0.99, 3.39)	4.81	0.38