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J. A. Bennell, C. N. Potts, J. D. Whitehead, Local Search Algorithms for the Min-Max Loop Layout Problem, The Journal of the Operational Research Society, Vol. 53, No ...
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 ...
Quantum computers of the future hold promise for solving complex problems more quickly than ordinary computers. For example, they can factor large numbers exponentially faster than classical ...
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.
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