Learning automata constitute a branch of reinforcement learning that enables algorithms to iteratively refine their actions through continual interaction with uncertain, or stochastic, environments.
Bin packing problems are a class of NP-hard combinatorial optimisation challenges with wide-ranging applications in logistics, manufacturing, cloud computing and scheduling. The fundamental task is to ...
Experts say ABC represents a major step forward in bio-inspired computing. By replicating the collective intelligence and adaptive strategies of honey bees, the algorithm provides a flexible, ...
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 ...
SHENZHEN, May 08, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Develops a Blockchain Storage Optimization Solution Based on the Archimedes Optimization Algorithm (AOA) Shenzhen, May. 08, 2025/––MicroAlgo ...
SAN DIEGO--(BUSINESS WIRE)--XENDEE Corporation has developed and implemented a new patent pending algorithm capable of reducing the runtime required for multi-year techno-economic optimization of a ...
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