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Ant colony algorithmEdge detectionFault detectionMotion optimizationAdaptive thresholdThe algorithm dynamically adjust its sensitivity to edge features based on the image.The optimization of the formulas makes the pheromone deposition more efficient.Gradient values were used to determine the initial ant ...
Artificial bee colonyAnt colony optimizationKendall TauHigher education is essential because it exposes students to a variety of areas. The academic performance of IT students is crucial and might fail if it isn't documented to identify the features influencing them, as well as their strengths and...
Intrusion defense: Leveraging ant colony optimization for enhanced multi-optimization in network securityARMACOFalse-alarmAccuracyIDSThe security of a data is the data is the prime challenge in the current scenario. To protect our data from unauthorized access we need a system that analyses traffic ...
Subsequently, we develop a learning-enhanced ant colony optimization (LeACO) algorithm by introducing the following strategies: (1) a bandit-based learning for estimating chance constraints under uncertainty; and (2) a rank-based learning for updating pheromones on edges. Finally, through sensitivity...
ant colony optimizationModel-based testing is an automated process to generate tests from behavioral models of a system under test. Model checking is a verification technique to prove/falsify properties through exploring a state system's space. In the literature, model-based testing often uses model...
RURAL planningIn order to realize the automatic location of urban and rural emergency shelters, the optimal location method of urban and rural emergency shelters based on the improved ant colony algorithm is proposed. Combined with the method of urban and rural land block grid space planning, the...