scholarly journals A new hybridization strategy for krill herd algorithm and harmony search algorithm applied to improve the data clustering

Author(s):  
Laith Mohammad Abualigah ◽  
Ahamad Tajudin Khader ◽  
Mohammed Azmi AlBetar ◽  
Essam Said Hanandeh
2020 ◽  
Vol 92 ◽  
pp. 106273 ◽  
Author(s):  
Kazem Talaei ◽  
Amin Rahati ◽  
Lhassane Idoumghar

2020 ◽  
Vol 10 (11) ◽  
pp. 3827 ◽  
Author(s):  
Laith Abualigah ◽  
Ali Diabat ◽  
Zong Woo Geem

The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering applications, including data clustering, text clustering, fuzzy clustering, image processing, and wireless sensor networks. We provide a comprehensive survey of the literature on HSA and its variants, analyze its strengths and weaknesses, and suggest future research directions.


Author(s):  
Osama Moh’d Alia ◽  
Mohammed Azmi Al-Betar ◽  
Rajeswari Mandava ◽  
Ahamad Tajudin Khader

2013 ◽  
Vol 32 (9) ◽  
pp. 2412-2417
Author(s):  
Yue-hong LI ◽  
Pin WAN ◽  
Yong-hua WANG ◽  
Jian YANG ◽  
Qin DENG

Sign in / Sign up

Export Citation Format

Share Document