Toshiba Corporation has realized a major breakthrough in combinatorial optimization—the selection of the best solutions from among an enormous number of combinatorial patterns—with the development of ...

Graph algorithms lie at the heart of modern computational theory, probing how networks of vertices and edges can be explored, optimised or transformed under constraints that often defy efficient ...

Evolutionary algorithms form a robust class of metaheuristic methods inspired by natural selection, designed to tackle combinatorial optimisation tasks where the search space grows factorially or ...

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 ...

Many applications solve problems that are sequential decision processes: an algorithm is given an a priori distribution over scenarios from which an unknown scenario is chosen and the task is to ...