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

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

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)

Line plots with the TPR 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 TNR 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)

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

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

Proposed algorithm. by Keenjhar Ayoob (22339616)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

“…All three algorithms perform substantially better than random, with Metropolis scoring the highest. …”

The impact of extrinsic noise sources on the measured SNR is plotted for both CW and TG against varying optical filter magnitudes. by Nicholas H. Vitale (20469289)

IEEE CEC 2017 benchmark function specifications. by Kankan Tang (21474968)

IEEE CEC 2022 benchmark function specifications. by Kankan Tang (21474968)

Benchmark functions. by Yun Qi (560401)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

“…Crucially, we propose fitness functions based on approximate measures of the wave function compactness, which enable inexpensive genetic algorithm searches. …”

Line plots with the RI, left, TPR, centre, and TNR, right for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simul... by Susana Conde (5495675)

Predicted power spectral density of fluorescence under the influence of molecular binding kinetics for system with 1 nM and 100 nM of ssDNA against temperature. by Nicholas H. Vitale (20469289)

Function testing and iterative variation diagram. by Yun Qi (560401)

Observed adjusted Rand index for one-replicate simulations (with AR(1), <i>ρ</i> = 0.5, <i>σ</i>² = 0.1) against the number of clusters <i>K</i> = 3, 6, 9, 12 (on the ho... by Susana Conde (5495675)

Loss Function Comparison. by Hongwei Yue (574068)