A hatchery-based ant clustering algorithm
A hatchery-based ant clustering algorithm was explored.With the pre-configured number of clusters,the data were randomly placed into the clusters,then arranged the initial disorder clusters orderly through ants.Compared with other traditional ant clustering algorithms,this algorithm is a more intuitive model,and easier operation.The experiments with real data as Iris showed that the algorithm is fast and effective.
This report documents work performed by the University of California at Davis in collaboration with the California Department of Transportation (Caltrans) in relationship to a Precursor System Analysis dealing with a study of automated construction, maintenance, and operational requirements for Automated Highway Systems (AHSs). This study was conducted in the activity area "K" dealing with AHS roadway operational analysis. The report documents a design analysis for a robotic system for automated installation of discrete magnetic markers for AHSs. The design includes a manpower assessment and a cost-benefit analysis. Summaries for supporting research are included in appendices, including: a literature review, a reference architecture and classification system for an AHS, and a computer simulation and animation of the prototype discrete magnetic marker placement system described in this report.