PSO algorithm flowchart. by Huichao Guo (14515171)

“…To this end, the objective function of the minimum total scheduling time is established, and the relevant constraints are set. A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”

Statistical test of experimental results of NAFPSO and PSO algorithm. by Huichao Guo (14515171)

Schematic diagram of elements in the delivery area. by Yingbo Mao (22522192)

PSO mechanism. by Saad Hammood Mohammed (20623506)

PSO parameters. by Saad Hammood Mohammed (20623506)

“…The proposed methodology combines Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for hybrid feature selection, ensuring the selection of the most relevant features for detecting FDIAs. …”

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

IACO algorithm flowchart. by Pengfei Huang (552512)

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Position and velocity update in PSO. by Saad Hammood Mohammed (20623506)

Iterative results of different algorithms. by Pengfei Huang (552512)

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Optimal scheduling sequence of IACO algorithm. by Pengfei Huang (552512)

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Feature Selection Parameters for GWO-PSO. by Saad Hammood Mohammed (20623506)

“…The proposed methodology combines Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for hybrid feature selection, ensuring the selection of the most relevant features for detecting FDIAs. …”

Minimum cost and average cost of different algorithms. by Pengfei Huang (552512)

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Feature selection using hybrid GWO-PSO. by Saad Hammood Mohammed (20623506)

“…The proposed methodology combines Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for hybrid feature selection, ensuring the selection of the most relevant features for detecting FDIAs. …”

Results of different pheromone evaporation rates in the IACO algorithm. by Pengfei Huang (552512)

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Data and code resources. by Sam Hall-McMaster (10343795)

Customer point clustering results. by Yingbo Mao (22522192)

“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”

Basic information of customer points. by Yingbo Mao (22522192)

“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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The genome coding scheme. by Wenbing Shi (5806160)

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The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)