Meta-network and feasible paths of an example EV. by Fengjie Fu (7314347)

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Charging details at each charging station under the two path optimization methods. by Fengjie Fu (7314347)

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Friedman tests results for the average number of stops for charging and the average waiting time among CSs. by Fengjie Fu (7314347)

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Important details on the 20 randomly generated networks. by Fengjie Fu (7314347)

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Comparison of the optimal paths of the EV-TOP and the EV-SWP. by Fengjie Fu (7314347)

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Piecewise linear approximation for three types of EVs. by Fengjie Fu (7314347)

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Study network for evaluation. by Fengjie Fu (7314347)

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Process of the transformation from the EV-TOP to the EV1-COP and the EV2-SP. by Fengjie Fu (7314347)

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Comparison of computational cost between SBOA and MESBOA. by Yuqi Xiong (12343771)

Plot of coverage attenuation function. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Result of output membership functions of the truth value. by Thanasan Intarakumthornchai (9606684)

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Selected optimal solutions from the QLNSGA-II algorithm. by Zhongfeng Li (3965060)

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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

Comparison of cost convergence curves. by Ying Wang (11406)

Road saturation and total travel cost. by Anqi Jiang (4583380)

“…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …”

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

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Creation of the evolutionary algorithm search space. by Kaveh Faraji Googerdchi (18778727)

Comparison of the proposed algorithms with classical classifiers. by Kaveh Faraji Googerdchi (18778727)

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

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Multi-objective fuzzy optimization results based on PSCACO algorithm. by Tianrui Zhang (2294542)

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