I-NSGA-II-RF algorithm. حسب Xiaohua Zeng (793632)

"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"

The pareto front obtained by each algorithm. حسب Xiaohua Zeng (793632)

"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"

The effect of each parameter on the target functions. حسب Shangyang Jin (21772466)

The combined effect between each parameter on the target 3. حسب Shangyang Jin (21772466)

The combined effect between each parameter on the target functions. حسب Shangyang Jin (21772466)

Path planning results are synthesized by the VBAS algorithm to avoid multiple irregular obstacles. حسب Qing Liang (654718)

Multiple irregular obstacles enlarged the view of the planned path part of the VBAS algorithm. حسب Qing Liang (654718)

Path planning results are synthesized by the VBAS algorithm to avoid multiple regular obstacles. حسب Qing Liang (654718)

Multiple locally optimal landscapes. حسب Shane Nowack (6786710)

Multiple locally optimal landscapes. حسب Shane Nowack (6786710)

"…Collectively, subfigures (B)-(K) demonstrate that (i) the algorithm leads to multiple locally optimal landscapes, and (ii) the viable candidates shown collect the parcels of each vegetative state into a single patch, hence, these viable candidates are also global optima. …"

3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments. حسب Giacomo Janson (8138517)

The enlarged drawing with Fig 11 in height = 400m. حسب Huilong Jin (18388078)

The enlarged drawing with Fig 11 in height = 200m. حسب Huilong Jin (18388078)

De Novo Inverse Design Superhard C–N Compounds via Global Machine Learning Interatomic Potentials and Multiobjective Optimization Algorithm حسب Guanjian Cheng (21176131)

الموضوعات:

Experimental result of Target 3. حسب ZhengQiang Xiong (8985620)

Experimental result of Target 2. حسب ZhengQiang Xiong (8985620)

Experimental result of Target 1. حسب ZhengQiang Xiong (8985620)

The use of optimal parameters for HDDRs improves 3D modeling quality. حسب Giacomo Janson (8138517)

Control parameters of the SOMA algorithm. حسب Quoc Bao Diep (18452207)

"…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …"

Effects on 3D modeling of optimal <i>σ</i> values and DOPE. حسب Giacomo Janson (8138517)