Enhancing three variants of harmony search algorithm for continuous optimization problems
Meta-heuristic algorithms are well-known optimization methods, for solving real-world optimization problems. Harmony search (HS) is a recognized meta-heuristic algorithm with an efficient exploration process. But the HS has a slow convergence rate, which causes the algorithm to have a weak exploitat...
Main Authors: | Alomoush, Alaa A., Alsewari, Abdulrahman A., Kamal Z., Zamli, Alrosan, Ayat, Alomoush, Waleed, Alissa, Khalid |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science (IAES)
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/31374/1/Enhancing%20three%20variants%20of%20harmony%20search%20algorithm%20for%20continuous.pdf |
Similar Items
-
Hybrid harmony search algorithm for continuous optimization problems
by: Ala’a Atallah, Hamad Alomoush
Published: (2020) -
Pressure vessel design simulation using hybrid harmony search algorithm
by: Alaa A., Alomoush, et al.
Published: (2019) -
Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
by: Alomoush, Alaa A., et al.
Published: (2019) -
Modified Opposition Based Learning to Improve Harmony Search Variants Exploration
by: Al-Omoush, Alaa A., et al.
Published: (2020) -
Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
by: Alomoush, Alaa A., et al.
Published: (2018)