ACOTSPQAP is a software package that implements various Ant Colony Optimization algorithms for the symmetric travelling salesman problem (TSP) and the quadratic assignment problem (QAP). The ACO ...
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 ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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 ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
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 ...
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