2026-10-09T18:39:48Z https://api.figshare.com/v2/oai

oai:figshare.com:article/31062772 2026-09-28T23:59:36Z category_28855 portal_438 item_type_15 month_year_09_2026

A Hybrid African Vulture Optimization Algorithm and Harmony Search : Algorithm and Application in Clustering Seyedali Mirjalili (7358132) Satisfiability and optimisation African vulture optimization algorithm Data clustering Harmony search algorithm Hybridization Optimization Data clustering is one of the necessary research fields in data analysis. Clustering is an unsupervised classification method for assigning data objects to separate groups, which are called clusters. So that the similarity of the data within each cluster and the difference between the cluster data is high, a variety of meta-heuristic algorithms can be used to solve this problem. In this paper, a new algorithm created using a combination of African Vulture Optimization Algorithm (AVOA) and Harmony Search (HA) is used. The proposed algorithm is implemented on the clustering dataset of the UCI machine learning repository. Furthermore, the results obtained from the proposed algorithm are compared with other meta-heuristic algorithms. The experiments show that the proposed method has good and better performance than other optimization algorithms.<p></p> 2026-09-28T23:59:36Z Text Chapter 10.1007/978-3-031-09835-2_13 https://figshare.com/articles/chapter/A_Hybrid_African_Vulture_Optimization_Algorithm_and_Harmony_Search_Algorithm_and_Application_in_Clustering/31062772 CC BY 4.0