Rapid Ant Based Clustering-Genetic Algorithm (RAC-GA) With Local Search for Clustering Problem

Provided by: Growing Science
Topic: Data Management
Format: PDF
Clustering is a critical data analysis and it is a popular data mining technique. This paper presents a Rapid Ant based Clustering-Genetic Algorithm (RAC-GA) with local search to solve clustering problem. GA and local search are used as a global and local search to obtain better results. The proposed algorithm is evaluated by testing on some of the well-known real-world datasets and the results are compared with other popular heuristics in clustering, such as GA, SA, TS, ACO and RAC.

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