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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Computational and resource efficiency of different algorithms. by Rui Li (4631)

Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. by Roukayatou R. Ouedraogo (20460980)

EITO_P with flexible trip time. by Yunhu Huang (21402795)

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Linear interpolation dimension expansion algorithm flowchart. by Yuhang Zhang (3144870)

Comparison of average precision means of different algorithms. by Haisong Xu (141729)

Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

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Flow Φ of the controlled continuous time PDMP. by Benoîte de Saporta (20454662)

“…Instead of discretizing the problem with a discrete Markov Decision Process, we apply the Partially-Observed Monte-Carlo Planning algorithm to solve the continuous-time, continuous-state problem, leveraging the near-deterministic nature of cancer progression. …”

ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

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Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

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The convergence diagram of the coefficients of the objective function for the capacity of 1 MW. by Mohammad Hassan Tanha (19832141)

Subjects: “…refrigeration optimization algorithm…”

Comparison of PSNR values of different algorithms. by Xiaojun Wang (50332)

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Changes in FID values of different algorithms. by Xiaojun Wang (50332)

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Comparison of SSIM values of different algorithms. by Xiaojun Wang (50332)

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Changes in loss values for different algorithms. by Xiaojun Wang (50332)

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

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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)

Transparent transfer function precomputed rendering result diagram. by Yuliang Yuan (4478698)

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Time domain diagram after decomposition. by Xianlin Ren (22783589)

“…This research initially proposes an adaptive variational mode decomposition approach based on dung beetle optimization algorithm to decompose and extract signals. At the same time, a composite optimization indicator function based on Tanimoto coefficient, permutation entropy and kurtosis are presented as the fitness function of decomposition to increase the flexibility and robustness of the technique. …”