Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...

Constraint programming is a declarative method for modelling and solving decision problems by specifying variables, their domains and relations that must hold. Combinatorial optimization extends this ...

Combinatorial optimisation for constraint problems encompasses a broad class of decision and optimisation tasks in which discrete choices must satisfy intricate side conditions. Typical examples ...

Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...

Researchers have developed a novel multi-constraint optimization method that significantly improves the efficiency of reinforcement learning in complex environments. This new algorithm, called ...