ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. حسب Tarun Khajuria (12117309)

PLS-SEM algorithm. حسب Ernest Nyamekye (18451455)

Flowchart of improved FOX optimization algorithm. حسب Mahmood A. Jumaah (22272371)

الموضوعات:

Overview of the C&CG method. حسب Tianhe Sun (21145341)

الموضوعات:

Results on solving TSS using different evolutionary and greedy algorithms. حسب Alexander Andreev (16822333)

"…<p>Results on solving TSS using different evolutionary and greedy algorithms.…"

Solving flow chart of the IBBPSO algorithm. حسب Kuiyuan Pan (21145338)

الموضوعات:

Deep reinforcement learning agents trained using a curriculum solve navigation tasks with delayed rewards. حسب William L. Tong (22238845)

Comparison of planning results for different uncertainty quantification methods. حسب Tianhe Sun (21145341)

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Metaheuristic algorithms for solving DNA-related problems. حسب Eslam Hamouda (5172083)

An instance of the IPP that can be solved by applying the algorithms for the DPP. حسب Jordan Moutet (21800145)

Summary of classical and CEC-based benchmark test functions used in this study. حسب Mahmood A. Jumaah (22272371)

الموضوعات:

Compare topologies when using the WOA algorithm to solve the RNP problem by different methods. حسب Le Huu Binh (18340233)

الموضوعات:

Compare topologies when using the MVO algorithm to solve the RNP problem by different methods. حسب Le Huu Binh (18340233)

الموضوعات:

Convergence curves for all algorithms. حسب Genliang Li (5816264)

"…The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. It is widely used in various optimization problems due to its fast convergence and minimal parameter requirements. …"

Parameter Settings for competitive algorithms. حسب Genliang Li (5816264)

"…The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. It is widely used in various optimization problems due to its fast convergence and minimal parameter requirements. …"

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. حسب Abdullah Asım Yılmaz (20715311)

Using the descent direction in a method of centres algorithm for solving multi-objective programming problems حسب A. H. Dehmiry (21337839)

Details of multiple GWO algorithm variants. حسب Genliang Li (5816264)

"…The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. It is widely used in various optimization problems due to its fast convergence and minimal parameter requirements. …"