News
The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...
Beyond Trial and Error: A Ghanaian contribution to metaheuristic classification and its implications
In the fast-evolving fields of artificial intelligence, operations research, and computational intelligence, metaheuristics ...
It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.
The Best Way Forward? When classical and quantum algorithms compete, they often do so on the battlefield of optimization, a field focused on finding the best options for solving a thorny problem.
A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results