Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

Jiangsu Anjie Energy Information System Co., Ltd. recently announced that it has applied for a patent titled "Dynamic Optimization Management System for Smart Factories Based on Digital Twin and Big ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Energy Exploration & Exploitation, Vol. 39, No. 1 (January 2021), pp. 273-298 (26 pages) This paper establishes an error compensation multi-objective optimization ...

SAE International Journal of Materials and Manufacturing, Vol. 16, No. 4 (2023), pp. 379-386 (8 pages) Milling is a prevalent machining technique employed in various industries for the production of ...

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

SHENZHEN, China, Jan. 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of an innovative hybrid algorithm that combines the ...

T-VOS has been integrated into the Marine AI technology platform developed for DARPA's NOMARS programme. NOMARS is being delivered by Serco in the shape of the demonstrator vessel USX-1 Defiant ...