Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...

Abstract: Solving constrained multiobjective optimization problems (CMOPs) is a highly challenging work. Numerous complex nonlinear constraints significantly add to the complexity of CMOPs, resulting ...

Jorge Nocedal can’t stop thinking about optimization. Even when gazing at Lake Michigan or lying in bed, he constantly imagines new approaches to new problems in new areas, like deep learning. “I ...

MATLAB implementation of the ILP-based minimal camera network optimization framework proposed in "Autonomous BIM-Aware UAV Path Planning for Construction Inspection". Includes visibility simulation, ...

Abstract: LiDAR-Inertial simultaneous localization and mapping (LI-SLAM) plays a crucial role in various applications such as robot localization and low-cost 3D mapping. However, factors including ...