Original 50th images of four datasets. by Li WANG (7551848)

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

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

Subjects:

Binary encoding scheme. by Binh Thanh Dang (12368831)

Original and expanded datasets explained. by Ruikang Xu (18778060)

Subjects:

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by Benjamin Gallois (10131683)

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. …”

Parameters of NSGA-II algorithm. by Shangyang Jin (21772466)

Parameters of muti-island genetic algorithm. by Shangyang Jin (21772466)

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)

The structure of the experimental process for anuran bioacoustic classification. by Cihun-Siyong Alex Gong (11874066)

Original datasets for providing ROC-AUC curves. by Xueliang Guo (4797057)

The parameter settings of algorithms. by Mohammad H. Nadimi-Shahraki (14322248)

Comparison between FEA and experimental results [33]. by Shangyang Jin (21772466)

Comparison between FEA (in this work) and experimental results [33]. by Shangyang Jin (21772466)

Code and data. by Shangyang Jin (21772466)

The material characteristics of the mass block. by Shangyang Jin (21772466)

The material characteristics of the components. by Shangyang Jin (21772466)

The structure of the optimized lightweight YOLOv5s model proposed in this paper (added Ghost (①), CA(②), and PAN-weight(③) to the original model). by Jie Yang (121778)

Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)