Abstract
A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mine blast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.
Original language | English |
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Title of host publication | Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
Editors | Zong Woo Geem, Joong Hoon Kim |
Publisher | Springer Verlag |
Pages | 155-168 |
Number of pages | 14 |
ISBN (Print) | 9783662479254 |
DOIs | |
Publication status | Published - 2016 |
Event | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 382 |
ISSN (Print) | 2194-5357 |
Other
Other | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 15/8/19 → 15/8/21 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2016.
Keywords
- Global optimization
- Harmony search
- Hybrid metaheuristic methods
- Large-scale problems
- Mine blast algorithm
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science