An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems
Joint Authors
Yong, Longquan
Tuo, Shouheng
Zhou, Tao
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-29, 29 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-21
Country of Publication
Egypt
No. of Pages
29
Main Subjects
Abstract EN
Harmony search (HS) algorithm is an emerging population-based metaheuristic algorithm, which is inspired by the music improvisation process.
The HS method has been developed rapidly and applied widely during the past decade.
In this paper, an improved global harmony search algorithm, named harmony search based on teaching-learning (HSTL), is presented for high dimension complex optimization problems.
In HSTL algorithm, four strategies (harmony memory consideration, teaching-learning strategy, local pitch adjusting, and random mutation) are employed to maintain the proper balance between convergence and population diversity, and dynamic strategy is adopted to change the parameters.
The proposed HSTL algorithm is investigated and compared with three other state-of-the-art HS optimization algorithms.
Furthermore, to demonstrate the robustness and convergence, the success rate and convergence analysis is also studied.
The experimental results of 31 complex benchmark functions demonstrate that the HSTL method has strong convergence and robustness and has better balance capacity of space exploration and local exploitation on high dimension complex optimization problems.
American Psychological Association (APA)
Tuo, Shouheng& Yong, Longquan& Zhou, Tao. 2013. An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-29.
https://search.emarefa.net/detail/BIM-1031880
Modern Language Association (MLA)
Tuo, Shouheng…[et al.]. An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems. Mathematical Problems in Engineering No. 2013 (2013), pp.1-29.
https://search.emarefa.net/detail/BIM-1031880
American Medical Association (AMA)
Tuo, Shouheng& Yong, Longquan& Zhou, Tao. An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-29.
https://search.emarefa.net/detail/BIM-1031880
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031880