FAVG

AcronymDefinition
FAVGFighter Ace Volunteer Group (video game support)
References in periodicals archive ?
Results in Table 4 for the between objects calculation indicate that, PPCA algorithm is able to produce better solution quality than MPCA algorithm in all datasets referring to the best minimal distance fmin, the average score favg and the standard deviation [sigma].
Results in Table 5 for the between objects calculation indicates that, PPCA algorithm is able to produce better solution quality than IISA algorithm in all datasets (except in H.S they obtained same fmin) referring to the best minimal distance fmin, the average score favg and the standard deviation [sigma].
Meanwhile, PPCA algorithm is able to produce better solution quality for the calculation between objects than PCA, MPCA and IISA algorithms referring to the best minimal distance fmin, the average score favg and the standard deviation a in some datasets, where in other datasets obtains same fmin.
According to Table 7 for the calculation between centers, MPCA algorithm is able to produce better solution quality than PCA algorithm in all datasets (except in H.S, B.L.D and T.D they obtained same fmin) referring to the best minimal distance fmin, the average score favg and the standard deviation a.
Results in Table 8 for the between centers calculation indicates that, PPCA algorithm is able to produce better solution quality than MPCA algorithm in all datasets (except in B.L.D they obtained same fmin) referring to the best minimal distance fmin, the average score favg and the standard deviation a.
Results in Table 8 of the calculation between centers indicates that, PPCA algorithm is able to produce better solution quality than IISA algorithm in all datasets (except in B.L.D and P.I.D they obtained same fmin) referring to fmin, favg and [sigma].
Table 2 indicates that, AGD is able to produce better minimal distance quality than MGD algorithm in all datasets (except in T.D and B.C) referring to the best minimal distance fmin, the average scores favg and the standard deviation [sigma].