Racing Sampling Based Microimmune Optimization Approach Solving Constrained Expected Value Programming

Table 2

Comparison of statistical results for Example 6.

Algor.	Max.	Min.	Mean	Std. dev.	CI	FR (%)	AR (s)
SSGA-A	488.0	401.8	458.9	19.2		53	26.6
SSGA-B	489.7	415.7	463.0	17.4		53	25.8
NIOA-A	410.8	378.2	393.9	8.7		100	16.0
NIOA-B	414.6	371.3	395.2	3.9		100	13.9
IOA	464.7	444.3	456.8	5.5		100	12.1