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 ...

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

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 ...

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