Contemplate Study of Contemporary Evolutionary Approaches Used for Mining High Utility itemset

Abstract

Biologically motivated optimization algorithm is used to address the exhaustive NP-Hard problems that will take years. Many researchers have used this general-purpose meta-heuristic computing algorithm in the field of high utility itemset mining (HUIM) over the last few years to produce optimal results with acceptable efficiency.A general, broad overview of the state-of - the-art evolutionary strategies used to mine high utility itemsetis provided in this article. Extensive analysis is offered of recent evolutionary methods used in high utility mining, taking into account the dataset used, the pros and cons. Lastly, the survey concludes with an analysis of specific and methodological challenges in this field.

Keywords: HUIM, Evolutionary, Bio-Inspired, GA, BPSO, ABC, Multi-Objective, Bio-HUI Framework.