Abstract: Conventional Ant Colony Optimization (ACO) exhibits slow convergence and high parameter sensitivity in unstructured continuous optimization. This paper proposes Gradient-Adaptive Step ACO ...

Abstract: The Traveling Salesman Problem (TSP) is a classic NP-hard optimization challenge where a salesman must find the shortest route visiting a series of locations exactly once before returning to ...

Ant societies rely on precise recognition systems to maintain cooperation, but new research reveals that these systems are more adaptable than once believed. For ants, quickly telling friend from foe ...

surabaya_map = mpimg.imread(".vscode\Optimization\Tugas_AI_Optimization\Lokasi_Kantor_Kecamatan_Surabaya.png") def show_Kecamatan(path, w=8, h=8): """Plot a TSP path overlaid on a map of the Kantor ...

Do you ever feel as if you could do your bosses' jobs better than they can? Or do you ever think about marching into a whole new career? If so, new research from the University of Arizona suggests ...

When we reflect on AI, we ought to take note of the continued development of its capabilities. This essay continues my fascination with Franz Kafka’s essay, A Report to the Academy, as a springboard ...

A wood ant, one of the millions from the super colony. Wood ants have very sensitive antennae which they use to smell, taste and communicate.