Research Article

Solving Interval Quadratic Programming Problems by Using the Numerical Method and Swarm Algorithms

Table 5

The statistical results of SAs over the 30 runs.

AlgorithmCPU time(s)MeanSDWorstBest

Problem 1Range of [1.025, 74]PSO5.451.67830.04191.70241.6209
FA4.561.53370.00651.53791.5252
CPSO3.76E−0021.025001.02501.0250
CFA2.95E−0021.025001.02501.0250

Problem 2Range of [−3.5, −0.75]PSO12.05−3.22440.0458−3.1846−3.2759
FA7.96−3.32300.0066−3.3257−3.3355
CPSO2.54E−002−3.49990−3.4999−3.4999
CFA1.51E−002−3.50−3.5−3.5

Problem 3Range of [−3.4922, 0.5217]PSO22.45−1.87950.0304−1.8750−1.9297
FA10.38−3.14980.0487−3.0907−3.1872
CPSO9.41E−0022.70370.0013−2.7005−2.7046
CFA8.95E−002−3.49220−3.4922−3.4922