Division map of the delivery area. by Yingbo Mao (22522192)

“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”

The PF of ten comparative algorithms on the MMF12 test function. by Wenxing Wu (16853002)

The PF of ten comparative algorithms on the MMF14 test function. by Wenxing Wu (16853002)

The PF of ten comparative algorithms on the MMF1 test function. by Wenxing Wu (16853002)

The PS of ten comparative algorithms on the MMF1 test function. by Wenxing Wu (16853002)

The PS of ten comparative algorithms on the MMF14 test function. by Wenxing Wu (16853002)

Comparison of algorithms across metrics in test problems. by Jihui Hu (19812736)

Subjects:

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

Performance comparison of algorithms in ZDT5 and ZDT6 function tests. by Tao Dong (15551)

Comparison of algorithm performance in ZDT3 and ZDT4 function tests. by Tao Dong (15551)

Comparison of algorithm performance in ZDT1 and ZDT2 function tests. by Tao Dong (15551)

The PS of ten comparative algorithms on the MMF14a Test Function. by Wenxing Wu (16853002)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

Subjects:

Wilcoxon test for MODBO and other MO competitors. by Wenxing Wu (16853002)

Performance indicators of various test functions in CEC2020. by Wenxing Wu (16853002)

Main code. by Jingguo Bi (21439766)

Statistical test result. by Tao Dong (15551)

“…The results revealed that the improved multi-objective differential evolution algorithm in Zitzler-Deb-Thiele 1 function test had generational distance of 0.0513, inverted generational distance of 0.3265, and hyper volume metric of 0.1301. …”

The improved DeepSORT framework. by Tianyu Cheng (5075000)

“…In terms of tracking, the values of MOTA and MOTP in all test videos are 94.5% and 94.9% respectively. These experiments demonstrate that the improved YOLOv5s and DeepSORT achieves high accuracy for both pig detection and behavior tracking. …”

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)