Name
Title | ||
|---|---|---|
A novel hybridization strategy for krill herd algorithm applied to clustering techniques. |
Abstract | ||
|---|---|---|
•A novel hybrid of krill herd algorithm with harmony search algorithm.•The enhancement includes adding the operator of the harmony search algorithm to the krill herd algorithm.•Anew probability value (Def) is proposed to control the harmony search operator to explore the search space effectively.•Investigate the proposed algorithm for the text and data clustering problems. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.06.059 | Applied Soft Computing |
Keywords | Field | DocType |
Krill herd algorithm,Hybridization,Global exploration,Data clustering,Text clustering | Canopy clustering algorithm,CURE data clustering algorithm,Correlation clustering,HS algorithm,Rate of convergence,Artificial intelligence,Harmony search,Cluster analysis,Optimization problem,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
60 | 1568-4946 | 26 |
PageRank | References | Authors |
0.74 | 32 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laith Mohammad Abualigah | 1 | 244 | 11.47 |
| Ahamad Tajudin Khader | 2 | 683 | 40.71 |
| Essam Said Hanandeh | 3 | 118 | 3.70 |
| Amir Hossein Gandomi | 4 | 1836 | 110.25 |