Research Article

E-dyNSGA-III: A Multi-Objective Algorithm for Handling Pareto Optimality over Time

Table 3

Performance comparison of dyNSGA-III and E-dyNSGA-II for selected DMOPs.

Test problemPerformance indexdyNSGA-IIIE-dyNSGA-III

F7tr3.128 ± 0.0463.773 ± 0.125
dr1.275E-02(1.044E-01)2.941E-03(1.742E-02)
sr2.475E-03(2.631E-02)2.803E-02(1.038E-01)

F8tr2.486 ± 0.3122.941 ± 0.185
dr2.165E-02(2.593E-02)1.963E-03(2.106E-03)
sr3.958E-02(1.128E-02)2.851E-03(1.04E-03)

F10tr2.951 ± 0.0933.307 ± 0.311
dr3.753E-01(2.175E-01)3.055E-03(2.951E-03)
sr3.104E-02(1.198E-01)2.619E-03(1.117E-02)

F11tr3.285 ± 0.1754.042 ± 0.532
dr2.952E-01(2.031E-02)1.195E-03(2.584E-03)