An enhanced version of black hole algorithm via levy flight for optimization and data clustering problems

• Main Authors: Abdulwahab, Haneen A., Noraziah, Ahmad, Al-Sewari, Abdul Rahman Ahmed Mohammed, Salih, Sinan Q.
• Format: Article
• Language: English
• Published: IEEE 2019
• Subjects: QA Mathematics; QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/27559/1/An%20enhanced%20version%20of%20black%20hole%20algorithm%20via%20levy.pdf; http://umpir.ump.edu.my/id/eprint/27559/; https://doi.org/10.1109/ACCESS.2019.2937021; https://doi.org/10.1109/ACCESS.2019.2937021
• Institution: Universiti Malaysia Pahang

The processes of retrieving useful information from a dataset are an important data mining technique that is commonly applied, known as Data Clustering. Recently, nature-inspired algorithms have been proposed and utilized for solving the optimization problems in general, and data clustering problem...