Abstract: We present a hybrid algorithm called parallel simulated annealing with a greedy algorithm (PSAGA) to learn Bayesian network structures. This work focuses on simulated annealing and its ...
Abstract: Efficient multiple unmanned aerial vehicles (UAVs) path planning is crucial for improving mission completion efficiency in UAV operations. However, during the actual flight of UAVs, the ...
New spintronic hardware harnesses tunable randomness to solve complex optimisation problems faster and with less energy than ...
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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 ...
A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
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