Experimental hyperparameter setting. حسب Weiyu Han (3448742)

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Experimental software and hardware configuration. حسب Weiyu Han (3448742)

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Distribution of insulator target data. حسب Weiyu Han (3448742)

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Structure of C2f_SCConv. حسب Weiyu Han (3448742)

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Structure of SimAM attention. حسب Weiyu Han (3448742)

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Image of the ReLU function. حسب Mengqi Yuan (4852555)

The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

The traffic flow distribution diagram when traffic lights in both entrance and exit of the short-distance road section are red. حسب Yulin Tian (1457986)

The traffic flow distribution diagram when traffic lights in both entrance and exit of the short-distance road section are green. حسب Yulin Tian (1457986)

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

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Details of the metaheuristic algorithms. حسب Junhao Wei (6816803)

"…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"

Parameter settings for algorithms. حسب Junhao Wei (6816803)

"…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"

Comparison of different algorithms. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

Weighting Function Fitting Process Diagram. حسب Jiahui Gan (22793753)

Effectiveness of LSWOA and other SOTA algorithms with <i>D</i>=30, 50 and 100. حسب Junhao Wei (6816803)

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Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

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Algorithm schematic diagram of the CSM module. حسب Huiying Zhang (200681)

"…<div><p>An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …"

The benchmark functions. حسب Shuhui Yu (1535500)

Convergence curves of various improved WOA algorithms. حسب ZeSheng Lin (20501356)

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