Abstract: This work presents a nonlinear integral-ameliorated model for handling dynamic optimization problems with affine constraints. They pose a challenge as their optimal solutions evolve with ...
A new plasma framework reframes ignition, sustainment, and degradation, redefining energy behavior for next-generation ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: This article investigates the practical fixed-time distributed optimization problem (DOP) in nonlinear multiagent networks, where the optimization decision of each agent is subject to global ...