Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
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Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
USC is celebrating America's 250th anniversary with animated digital stamps honoring unsung heroes of computing. These stamps ...
In an increasingly AI-gated legal services market, smart law firms—and their legal marketing teams—won’t rely on inbound ...
Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...
Abstract: Ant colony optimization (ACO) algorithm is widely used in the instant delivery order scheduling because of its distributed computing capability. However, the order delivery efficiency ...
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