AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

By automating the end-to-end machine learning pipeline, it empowers less-experienced developers to build high-quality models ...

Advanced Conversion Technology reports on trends shaping military vehicle innovation, including autonomous tech, robotics, ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA ...

Traditional methodologies typically utilize deep learning models or genetic algorithms (GA) for optimization, yet each approach has inherent limitations: deep learning models are constrained by ...

Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better address ...

Novel quantum algorithm for high-quality solutions to combinatorial optimization problems Date: March 25, 2024 Source: Waseda University Summary: Conventional quantum algorithms are not feasible ...

Regression has been successfully combined with the memetic algorithm (MA) for constructing surrogate models. It is essentially an attempt to approximate the objective or constraint landscape of a ...