A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

TOKYO, JAPAN / ACCESSWIRE / April 8, 2024 / Founded in Tokyo in the fall of 2022, Quanmatic Inc. focuses on developing world class algorithm software solutions that leverage a wide range of ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a team has shown that a certain class of such problems can actually be solved better and much ...