MIT researchers have developed a robotic voxel-based assembly system that could reduce the embodied carbon of building construction by up to 82% compared to popular methods. The system uses modular ...

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

Abstract: This paper introduces a cross-process Bayesian multi-objective collaborative optimization framework to address challenges in semiconductor technology migration. We leverage transfer learning ...

Photodynamic therapy (PDT) has emerged as a powerful approach in precision medicine. This technique offers highly targeted treatment, allowing doctors to activate therapy exactly where and when it is ...

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...

“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...