Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...
Although gradient descent offers superior optimization efficiency, it is prone to converging to local optima rather than global optima. Li and Wang (2019) utilized the GA to optimize ANN parameters ...
Abstract: In this work, we revisit a classical distributed gradient-descent algorithm, introducing an interesting class of perturbed multi-agent systems. The state of each subsystem represents a local ...
Abstract: This paper proposes a multi-UAV path planning method based on an improved Hummingbird Algorithm (AHA). To address the original AHA’s tendency to become trapped in local optima and its slow ...
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