# Transfer Learning Based on Clustering Difference for Dynamic Multi-Objective Optimization
## 4 Experiments
### Running Speed
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Functions** & **Settings** & **DNSGA-II-A** & **DNSGA-II-B** & **TCD-DMOEA** & **PPS** & **T-DMOEA** & **KF-DMOEA** & **Winner** \\ \hline  & S1 & 0.14762 & 0.14492 & **0.09833** & 0.16937 & 0.14870 & 0.23698 & TCD-DMOEA \\ DF10 & S2 & 0.15983 & 0.14948 & **0.09554** & 0.15284 & 0.1493 & 0.24198 & TCD-DMOEA \\  & S3 & 0.13147 & 0.12085 & **0.05061** & 0.12691 & 0.1194 & 0.21441 & TCD-DMOEA \\ \hline  & S1 & 0.40398 & 0.40980 & 0.19190 & **0.12101** & 0.38975 & 0.26247 & PPS \\ DF11 & S2 & 0.47354 & 0.47851 & 0.32070 & **0.0203** & 0.4178 & 0.19754 & PPS \\  & S3 & 0.39052 & 0.39487 & 0.20528 & **0.11272** & 0.3331 & 0.1851 & PPS \\ \hline  & S1 & **0.98995** & 0.64389 & 1.15032 & 1.18370 & 1.19313 & 0.91213 & DNSGA-II-A \\ DF12 & S2 & **0.64129** & 0.65530 & 1.14949 & 1.18769 & 1.1923 & 1.22901 & DNSGA-II-A \\  & S3 & **0.61309** & 0.68070 & 1.14954 & 1.18368 & 1.19 & 0.589 & DNSGA-II-A \\ \hline  & S1 & 0.05872 & 0.66171 & **0.17489** & 0.24456 & 3.66200 & 3.37829 & TCD-DMOEA \\ DF13 & S2 & 2.07238 & 2.07951 & 0.17530 & 1.78561 & 2.8032 & 3.50246 & TCD-DMOEA \\  & S3 & 0.53317 & 0.55064 & **0.18022** & 0.25370 & 2.7312 & 1.4413 & TCD-DMOEA \\ \hline  & S1 & 0.17673 & 0.61880 & **0.02471** & 0.18437 & 1.6727 & 2.28643 & TCD-DMOEA \\ DF14 & S2 & 2.42269 & 2.37278 & **0.08365** & 1.35517 & 1.8333 & 2.34678 & TCD-DMOEA \\  & S3 & 0.15027 & 0.59975 & **0.02626** & 0.08840 & 1.8257 & 1.30683 & TCD-DMOEA \\ \hline  & S1 & 1.79444 & 2.56932 & **0.19001** & 5.95315 & 2.8026 & 4.99052 & TCD-DMOEA \\ FS & S2 & 1.78814 & 1.58863 & **1.04138** & 14.2385 & 3.6919 & 5.24072 & TCD-DMOEA \\  & S3 & 0.85822 & 1.01156 & **0.11944** & 2.79008 & 2.6592 & 6.85162 & TCD-DMOEA \\ \hline  & S1 & 1.16622 & 1.24886 & **0.33671** & 2.69581 & 1.2349 & 4.21603 & TCD-DMOEA \\ F6 & S2 & 0.82511 & 0.84377 & **0.03687** & 4.49749 & 2.4094 & 3.3681 & TCD-DMOEA \\  & S3 & 0.68284 & 0.83938 & 0.13659 & 2.26413 & 1.3095 & 1.32448 & TCD-DMOEA \\ \hline  & S1 & 1.69802 & 1.87903 & **0.07907** & 4.18370 & 1.4295 & 3.26674 & TCD-DMOEA \\ F7 & S2 & 1.53415 & 1.57008 & **0.06800** & 10.9552 & 3.1593 & 1.94158 & TCD-DMOEA \\  & S3 & 0.09880 & 0.90245 & **0.09635** & 1.95524 & 1.337 & 1.6357 & TCD-DMOEA \\ \hline  & S1 & 0.61626 & 0.58686 & 0.26926 & 0.89452 & 0.74194 & **0.23932** & KF-DMOEA \\ F8 & S2 & 0.57003 & 0.57302 & **0.31896** & 0.61123 & 1.0615 & 0.3261 & TCD-DMOEA \\  & S3 & 0.49723 & 0.51284 & 0.29669 & 0.30842 & 0.7875 & **0.21715** & KF-DMOEA \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Cont. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Functions** & **Settings** & **DNSGA-II-A** & **DNSGA-II-B** & **TCD-DMOEA** & **PPS** & **T-DMOEA** & **KF-DMOEA** & **Winner** \\ \hline \multirow{3}{*}{P9} & S1 & 2.16322 & 3.43708 & 0.89799 & 16.9765 & 1.85947 & **0.72251** & KF-DMOEA \\  & S2 & 2.79212 & 2.79170 & **0.24658** & 26.6893 & 2.6079 & 1.7066 & TCD-DMOEA \\  & S3 & 0.90504 & 1.72720 & 1.36171 & 8.46293 & 1.4721 & **0.83295** & KF-DMOEA \\ \hline \multirow{3}{*}{F10} & S1 & 2.80464 & 3.23187 & 4.14096 & 10.3253 & 2.04876 & **0.69335** & KF-DMOEA \\  & S2 & 1.89147 & 2.04139 & **0.17799** & 10.3688 & 2.7845 & 3.83634 & TCD-DMOEA \\  & S3 & 2.59858 & **2.52480** & 4.10541 & 6.39496 & 2.7327 & 8.66578 & DNSGA-II-B \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Cont.