Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning

• Main Authors: Alomoush, Alaa A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Aloufi, Khalid, Kamal Z., Zamli
• Format: Article
• Language: English
• Published: IEEE 2019
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/25051/8/Hybrid%20Harmony%20Search%20Algorithm%20with%20Grey%20Wolf1.pdf; http://umpir.ump.edu.my/id/eprint/25051/; https://doi.org/10.1109/ACCESS.2019.2917803; https://doi.org/10.1109/ACCESS.2019.2917803

Most metaheuristic algorithms, including harmony search (HS), suffer from parameter selection. Many variants have been developed to cope with this problem and improve algorithm performance. In this paper, a hybrid algorithm of HS with grey wolf optimizer (GWO) has been developed to solve the problem...