Abstract: This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are ...

According to the latest information from the National Intellectual Property Administration, Beijing Jingwei Hengrun Technology Co., Ltd. applied for a patent titled "Method and Device for Generating ...

SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...

Self-Referential Large Models: Recursive Self-Enhancement in Code Generation ...

Artificial intelligence is tackling one of the main limitations of wireless charging: its lack of reliability. A fully ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Abstract: As the construction environment of power networks becomes increasingly complex, substation construction areas are gradually expanding from flatlands to high-altitude regions and mountainous ...

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...