Abstract
Ant colony optimization (ACO) is a modern metaheuristic advance for resolving firm optimization problems. ACO is based on perception of swarm intelligence (SI). Many algorithms that are motivated by scavenging activity of ant colonies were utilized to result of complex distinct optimization problems. This paper intends to provide a detailed idea about the importance of ACO for data mining problems with a broad analysis on the structure of ACO as well as its applicability from 2015 to 2020. Many variations of ACO have also been utilized for solving diverse complex problems of data mining area. The main intent of this study is to inspire the researchers of optimization board to make use of ACO for explaining to those kinds of problems that were not used yet.
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