<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

“…<b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …”

Flowchart of the GA-optimized BPNN algorithm. by Guoqiang Du (9346531)

Optimized process of the random forest algorithm. by Hongxia Li (493545)

“…Subsequently, a training model based on the random forest classification algorithm is constructed, and the model is optimized using two parameters, Mtry and Ntree. …”

The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”

Description of optimal model parameters. by Libo Liu (552605)

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 tea fields.XLSX by Yangyang Liu (807797)

Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

Optimal patch size and stride selection algorithm with stability constraints. by Chenglong Ge (2626258)

DE algorithm flow. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Optimal hyperparameters of the models. by Tuan Tran (322707)

Evaluation of the optimization algorithm using mock microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

Subjects:

Evaluation of the optimization algorithm using clinical microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

Subjects:

The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

Model comparison of the two optimized models against the PRF. by Taiwo A. Adekunle (22226868)

Subjects:

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

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Number of samples after dataset optimization. by Ming-zhou Lv (21402593)

Hyperparameters’ setting for PSO algorithm. by Feng Shen (151470)

Subjects: