Abstract
The Ant Colony Optimization (ACO) in the data mining field can be used to extract fate-based assessors. The purpose of this article is twofold. On the one hand, we offer a review of previous ant-based approaches for rare classification tasks, comparing them with sophisticated classification techniques such as C4.5, Ripper, and Support Vector Machines (SVM). Automated Intersection Management (AIM) is an innovative concept for steering vehicles through intersections. AIM considers vehicles as bargaining to the right. This assumption is significantly different from conventionally studied intersection management problems, which mainly focus on optimizing cycle times, splits, and offsets. The main difficulty lies in defining a strategy to improve traffic efficiency.
Published Version
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