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

This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...

Journal of Coastal Research, SPECIAL ISSUE NO. 115. Advances in Water Resources, Environmental Protection, and Sustainable Development (SUMMER 2020), pp. 116-119 (4 pages) The traditional construction ...

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 ...

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

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Machine learning algorithms are gaining popularity in the hydrologic sciences. These algorithms often require tuning hyperparameters to tailor their performance to a specific purpose. Often these ...