The Ant Colony Optimization (ACO) is a metaheuristic inspired by the behavior of real ants in their search for the shortest paths to food sources. It has recently attracted a lot of attention and has been successfully applied to a number of different optimization problems. Due to the importance of the feature selection problem and the potential of ACO, this paper presents a novel method that utilizes the ACO algorithm to implement a feature subset search procedure. Initial results obtained using the classification of speech segments are very promising.
No takes yet. Share an insight, caveat, or question.
Ahmed K. Al-Ani (2007) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: