The researchers described a new quantum algorithm that works faster than all known classical ones at finding good solutions to a wide class of optimization ... s fundamental program for research ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

Due to the significant influence of the penalty factor C and the RBF kernel function parameter g on the SVR fitting accuracy, the sum of SVR is optimized using the AOA, PSO, and BSFAOA algorithms ...

Novel quantum algorithm for high-quality solutions to combinatorial optimization problems. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 03 / 240325114124.htm ...

The upper layer focuses on electricity price optimization, modeling price negotiation as a Stackelberg game ... as a nonlinear programming problem. To enable rapid solution convergence, a hybrid ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

Abstract: This paper establishes an approximate optimal critic learning algorithm based on single-network adaptive dynamic programming (ADP) aiming at solving for continuous-time 2-player zero-sum ...