Abstract
During the last two decades, parallel computing has drawn attention as an alternative to lessen computational burden in the engineering domain. Parallel computing has also been adopted for meta-heuristic optimization algorithms which generally require large number of functional evaluations because of their random nature of search. However, traditional parallel approaches, which distribute and perform fitness calculations concurrently on the processing units, are not intended to improve the quality of solution but to shorten CPU computation time. In this study, we propose a new parallelization scheme to improve the effectiveness and efficiency of harmony search. Four harmony searches are simultaneously run on the processors in a work station, sharing search information (e.g., a good solution) at the predefined iteration intervals. The proposed parallel HS is demonstrated through the optimization of an engineering planning problem.
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 | 147-152 |
Number of pages | 6 |
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
- Engineering planning problem
- Harmony search
- Parallel computing
- Processing unit
- Solution quality
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science