Journal of Applied Mathematics

Research Article

Modified Biogeography-Based Optimization with Local Search Mechanism

Table 7

Analysis of the performance of operators in MLBBO.
 MLBBOMLBBO2MLBBO3MLBBO4
Mean (std)SRMean (std)SRMean (std)SRMean (std)SR
f1 30 +30 +0 +0
f2 30 +30 +0 +0
f3 30 +30 +0 +0
f4 30 −30 +0 +0
f5 30 +30 +0 +0
f6 30 ~30 ~30 ~30
f7 30 +30 ~30 +11
f8 30 ~30 +6 +0
f9 30 ~30 +0 +0
f10 30 +30 +0 +0
f11 19 −30 +1 +0
f12 30 +30 ~26 +1
f13 30 +30 ~0 +0
F1 30 ~30 +2 +0
F2 30 +4 +0 +0
F3 0 +0 +0 +0
F4 4 +0 +0 +0
F5 0 −0 +0 +0
F6 30 ~29 +0 +0
F7 13 −29 +0 +0
F8 0 ~0 ~0 ~0
F9 30 ~30 +30 +30
F10 0 +0 ~0 +0
F11 0 +0 +0 +0
F12 0 +0 +0 +0
F13 0 −0 −0 −0
F14 0 +0 −0 +0
Better  15 19  24 
Similar  7 6  2 
Worse  5 2  1 
Note: “+”, “−”, and “~” indicate that MLBBO is significantly better, worse, and indifferent, respectively, compared with other algorithms.