(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. by Devi Soorya Narayana Sasikumar (22331743)

Observed distributions of ARI ×100 from the FRECL partition after consensus clustering; against the number of runs. by Susana Conde (5495675)

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. by Miray Unlu Yazici (14792680)

Subjects:

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. by Ruyi Dong (9038174)

“…<p>Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms.…”

Effects of prey’s speed change probability (<i>K</i>_<i>s</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium payoff... by Hiroyuki Ichijo (13891153)

CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

Effects of prey’s detection distance (<i>D</i>_<i>s</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium payoffs (<su... by Hiroyuki Ichijo (13891153)

Effects of predators’ speed change probability (<i>K</i>_<i>w</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium pa... by Hiroyuki Ichijo (13891153)

Effects of predators’ detection distance (<i>D</i>_<i>w</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium payoffs... by Hiroyuki Ichijo (13891153)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Runtime (s) comparison of QLNSGAII against MOPSO, rNSGAII, IMMOEAD, MOEADFRRMAB, and dMOPSO on WFG and UF test functions. by Zhongfeng Li (3965060)

CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

AODV algorithm for route selection at node destination. by Tibebu Legesse (21030014)

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Computational and resource efficiency of different algorithms. by Rui Li (4631)

Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Line plots with the ARI for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. by Susana Conde (5495675)

Line plots with the RI for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. by Susana Conde (5495675)