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 ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Q.ANT, the pioneer in commercial photonic computing, today demonstrated the first complex, production-relevant AI workloads on its photonic hardware. Q.ANT successfully demonstrated a diffusion model ...

Artificial intelligence is emerging as a major driver of new employment opportunities, as growing demand for relevant talent ...

Ant behavior was the inspiration for the optimization technique. Image via Wiki Commons. Scientists often look to unexpected places to find inspiration for algorithms — and this is one of those ...

Abstract: In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-population strategy, co-evolution mechanism, pheromone updating strategy, and pheromone diffusion ...