Research Article

Hybrid Biogeography Based Optimization for Constrained Numerical and Engineering Optimization

Table 9

Statistical features of the results obtained by HBBO with different .

FunctionMetricsHBBO

G01Best −15−15−15−15−15
Mean −14.666665−14.633610−14.600000−14.799953−14.632939
Worst −12.999949−12.008289−13−13−12
SD

G02Best −0.8036071−0.8036171−0.8036185−0.8036179−0.8036173
Mean −0.7780832−0.7787019−0.7799297−0.7805965−0.7775819
Worst −0.71807066−0.7501355−0.7248475−0.7330360−0.7225584
SD

G03Best −1.0044781−1.00501001.00501001.0050100−1.0050100
Mean −0.7515293−1.00501001.00501001.0050100−1.0050100
Worst −0.2971747−1.00501001.00501001.0050100−1.0050100
SD

G07Best 24.306209124.306209124.306209124.306209124.3062091
Mean 24.306210024.306209124.306209124.306209124.3062091
Worst 24.306235124.306209124.306209124.306209124.3062091
SD

G10Best 7049.2480217049.2480217049.2480217049.2480217049.248021
Mean 7054.1786117049.2480227049.2480217049.2480217049.248027
Worst 7194.6088357049.2480767049.2480217049.2480217049.248200
SD26.52