TY - CHAP
T1 - A Hybrid African Vulture Optimization Algorithm and Harmony Search
T2 - Algorithm and Application in Clustering
AU - Gharehchopogh, Farhad Soleimanian
AU - Abdollahzadeh, Benyamin
AU - Khodadadi, Nima
AU - Mirjalili, Seyedali
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - African vulture optimization algorithm
KW - Data clustering
KW - Harmony search algorithm
KW - Hybridization
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85139405518&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-09835-2_13
DO - 10.1007/978-3-031-09835-2_13
M3 - Chapter
AN - SCOPUS:85139405518
T3 - Studies in Computational Intelligence
SP - 241
EP - 254
BT - Studies in Computational Intelligence
PB - Springer Science and Business Media Deutschland GmbH
ER -