@inproceedings{abb1adc05ad040e289f8466f36c1de86,
title = "A new parallelization scheme for harmony search algorithm",
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.",
keywords = "Engineering planning problem, Harmony search, Parallel computing, Processing unit, Solution quality",
author = "Donghwi Jung and Jiho Choi and Choi, {Young Hwan} and Kim, {Joong Hoon}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 ; Conference date: 19-08-2015 Through 21-08-2015",
year = "2016",
doi = "10.1007/978-3-662-47926-1_15",
language = "English",
isbn = "9783662479254",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "147--152",
editor = "Geem, {Zong Woo} and Kim, {Joong Hoon}",
booktitle = "Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015",
}