Abstract: As a widely adopted pathfinding approach, the A* algorithm still faces persistent challenges in extensive operational environments, including prolonged computation duration, excessive ...
Abstract: This paper presents a Normalized Hybrid A* and Inverse Ant Algorithm (IAA) for efficient pathfinding in weighted and constrained grid environments. Traditional Ant Colony Optimization (ACO) ...
This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results