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Bat Algorithm Based Hybrid Filter-Wrapper Approach
2015
Advances in Operations Research
This paper presents a new hybrid of Bat Algorithm (BA) based on Mutual Information (MI) and Naive Bayes called BAMI. In BAMI, MI was used to identify promising features which could potentially accelerate the process of finding the best known solution. The promising features were then used to replace several of the randomly selected features during the search initialization. BAMI was tested over twelve datasets and compared against the standard Bat Algorithm guided by Naive Bayes (BANV). The
doi:10.1155/2015/961494
fatcat:6o7lmpazdvbwhjctusdowd524i