ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

College of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, China Introduction: This research focuses on optimizing the motion path of truss ...

TOKYO, Sept 11 (Reuters) - A simulated Federal Reserve meeting that used artificial intelligence agents modeled on real-life policymakers showed political pressure polarised members of the board in ...

Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA sequence. When you purchase through links on our site, we may earn an affiliate ...

Abstract: The main purpose of the article is to describe how simulated annealing concept can be applied in molecular structure optimizations. Simulated annealing is a metaheuristic optimization method ...

In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high ...

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers ...

Abstract: In this study, we check the performance of traditional AODV (Ad-hoc On-Demand Distance Vector), MAODV (Multicast AODV), and a proposed Simulated Annealing (SA)-Optimized Routing protocol in ...

A recent study published in Advanced Energy and Sustainability Research demonstrated the effectiveness of microwave annealing in activating hydrogen within hydrogen-rich dielectrics (AlO x, SiN y, and ...