Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
Abstract: Path planning is a crucial component for robotics and autonomous systems, which facilitate navigation through dynamic and uncertain environments while avoiding obstacles. This review paper ...
Abstract: Delaunay triangulation is an effective way to build a triangulation of a cloud of points, i.e., a partitioning of the points into simplices (triangles in 2D, tetrahedra in 3D, and so on), ...
Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...
For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...
Abstract: This article introduces an innovative distributed algorithm tailored for achieving predefined-time convergence in addressing time-varying resource allocation problem under directed networks.
In science and engineering, multiobjective optimization problems (MOPs) usually contain multiple complex constraints, which poses a significant challenge in obtaining the optimal solution. This ...
Abstract: This paper gives a tutorial on iterative learning control nearly five decades after what is widely regarded as the first substantive paper in the literature. The focus is on algorithm ...
It's a simple word that has developed a sinister connotation: algorithm. For many of us, algorithms help determine what we watch, read and listen to — in the process, confirming our tastes and biases, ...
Abstract: Insulators play a crucial role in providing electrical isolation in power transmission lines, and timely detection of their defects is vital to avoid severe human life and property losses.
FALL RIVER — Tommy Arruda's talents emerged growing up on Division Street and South Park. It was there he grew to become a phenomenal basketball player but even better baseball player for the Durfee ...
Abstract: In this work, we propose a continuous-time distributed optimization algorithm with guaranteed zero coupling constraint violation and apply it to safe distributed control in the presence of ...