Simulation Scripts And Data. حسب Yuanchen Zhao (12905580)

Fig 6 - Computing generalized cophenetic distances under all <i>L</i>_<i>p</i> norms: A near-linear time algorithmic framework حسب Paweł Górecki (3285255)

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. حسب Yuanchen Zhao (12905580)

"…Here, the recovery qualities of each of the true functional groups (groups 1, 2, and 3) are shown as a function of <i>k</i>, the number of groups requested from the algorithm. …"

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms حسب Connor Lee (22327243)

"…The study integrates Cellpose 2.0 for automated segmentation of nuclei and cytoplasm with a heuristic A* path-finding algorithm to classify cellular connectivity. …"

Simulation of Spiral flight. حسب Junhao Wei (6816803)

"…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …"

Population initialized by Pseudo-Random Number. حسب Junhao Wei (6816803)

"…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …"

Population initialized by Good Nodes Set. حسب Junhao Wei (6816803)

"…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …"

The structure of an I-beam. حسب Junhao Wei (6816803)

"…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …"

Comparison of different types of inertia weight . حسب Junhao Wei (6816803)

"…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …"

Simulation of Levy flight. حسب Junhao Wei (6816803)

"…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …"

Details of the metaheuristic algorithms. حسب Yanzhao Gu (21192659)

"…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …"

From timetable spaces to networks. حسب Fabio Lamanna (4961875)

Function testing and iterative variation diagram. حسب Yun Qi (560401)

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

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

Efficient Indexing of large-scale linked interval data improves long-read transcript discovery (The 19th Annual Lewis Landsberg Research Day) حسب Richard A. Schäfer (19165600)

Steps in the proposed Apriori algorithm. حسب Yongkang Ding (21807539)

"…<div><p>Physical fitness refers to the health of all body functions, including cardiorespiratory endurance, muscle strength, flexibility, stamina, and body composition, which can help individuals effectively cope with daily activities and sports challenges. …"

The fitness score results of CEC2020 functions. حسب Sarah A. Alzakari (19704611)

"…Through rigorous testing on CEC2020 benchmark functions, en-CSA demonstrates robust performance, surpassing other optimization algorithms. …"

Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)