Research Article

MEA-CNDP: A Membrane Evolutionary Algorithm for Solving Biobjective Critical Node Detection Problem

Table 4

The experimental results of HV of MEA-CNDP and other algorithms on random weights instance.

InstanceI-MOEA/DI-DMOEA-εCMEA-CNDP

BA5009.15E − 036.81E − 023.52 E − 01
BA10008.81E − 054.33E − 043.24 E − 03
BA25008.87E − 064.55E − 051.09 E − 04
BA50006.48E − 057.56E − 051.20 E − 04
WS2503.44E − 014.04E − 017.49 E − 01
WS5002.89E − 013.57E − 015.56 E − 01
WS10003.95E − 023.17E − 028.20 E − 02
WS15006.61E − 027.67E − 024.10 E − 01
ER2352.98E − 014.23E − 015.81 E − 01
ER4661.16E − 013.45E − 015.23 E − 01
ER9412.48E − 024.89E − 029.14 E − 02
ER23445.41E − 052.25E − 041.15 E − 03
FF2501.37E − 014.22E − 017.20 E − 01
FF5007.11E − 021.19E − 015.32 E − 01
FF10004.96E − 031.72E − 025.22 E − 02
FF20003.86E − 045.67E − 041.20 E − 03