Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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Optimization flow chart of the AO algorithm. by Haijian Wang (746739)

“…Subsequently, the constraint conditions and objective functions were determined. Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”

The loss curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

The precision curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

Median average filtering algorithm. by Shaohua Fu (10573209)

“…<div><p>In order to improve the hardware configuration and interaction mode of the fish tank system and realize the diversification of client functions, the purpose of real-time remote monitoring and management is achieved. …”

The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

The average time slots for all algorithms. by Zihao Wang (845023)

“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”

A Novel Drone Delivery Problem with Stochastic Arrival Time under Uncertain Wind Conditions for Last-mile Delivery Using Iterated Adaptive Tabu Search Algorithm by Yuan Fang (20504030)

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A Novel Drone Delivery Problem with Stochastic Arrival Time under Uncertain Wind Conditions for Last-mile Delivery Using Iterated Adaptive Tabu Search Algorithm by Authors (for anonymous review purpose) (6946952)

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Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of... by Jordan Moutet (21800145)

CEC2017 basic functions. by Tengfei Ma (597633)

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Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…The algorithm employs recurrent neural networks to capture and process historical information. …”

Comparative analysis of algorithms. by Xumin Zhao (18261643)

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Reward function related parameters. by Honglei Pang (22693724)

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Schematic visualization of the work of the K-means algorithm. by Rutinaldo Aguiar Nascimento (14259594)

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Parameter sets of the chosen algorithms. by WanRu Zhao (18980374)

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The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

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