Adaptive dynamic algorithm for Australia rainfall. حسب Ahmed M. Elshewey (21463867)

Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. حسب Simeone Marino (81051)

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... حسب Yangyang Liu (807797)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

DE algorithm flow. حسب Ling Zhao (111365)

Test results of different algorithms. حسب Ling Zhao (111365)

Homomorphic binary tree. حسب Jianhua He (341366)

An optimal solution for the HFS instance. حسب Xiang Tian (4369285)

"…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …"

Summary of classification algorithms. حسب Stephen R. Piccolo (8367780)

Summary of feature-selection algorithms. حسب Stephen R. Piccolo (8367780)

Relative classification performance per combination of feature-selection and classification algorithm. حسب Stephen R. Piccolo (8367780)

Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start حسب Yifan Wang (380120)

"…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …"

Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start حسب Yifan Wang (380120)

"…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …"

Proposed Algorithm. حسب Hend Bayoumi (22693738)

Comparison based on hard instances from [79]. حسب Xiang Tian (4369285)

"…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …"

Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features. حسب Stephen R. Piccolo (8367780)

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

Schematic diagram of the Dropout optimization. حسب Peng Yang (296696)

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... حسب Stephen R. Piccolo (8367780)