Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve ...

Mathematics of Operations Research, Vol. 42, No. 1 (February 2017), pp. 144-166 (23 pages) Interdiction problems ask about the worst-case impact of a limited change to an underlying optimization ...

Abstract: We propose an extension of the chaotic evolution algorithm into the discrete domain to address combinatorial optimization problems. In this study, we leverage the discrete chaotic evolution ...

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 ...

Machine Learning for Combinatorial Optimization: Edge Coloring Problems Using Greedy Algorithms and Neural Networks This thesis explores the intersection of machine learning and combinatorial ...