TY - GEN
T1 - Copycat Harmony search
T2 - 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018
AU - Jun, Sang Hoon
AU - Choi, Young Hwan
AU - Jung, Donghwi
AU - Kim, Joong Hoon
N1 - Funding Information:
Acknowledgements This research was supported by a grant [13AWMP-B066744-01] from Advanced Water Management Research Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government.
Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.
PY - 2019
Y1 - 2019
N2 - Harmony Search (HS), one of the most popular metaheuristic optimization algorithms, is inspired by musical improvisation process. HS operators mimic music player’s different behaviors to make the best harmony. For example, harmony memory considering realizes the player’s utilization of a combination of sounds among the good harmony found in the past whereas pitch adjustment is derived from fine pitch tuning. However, at the authors’ best knowledge, there is no harmony search which takes into account the fact that poor music player improves as he/she follows from the good performer. This study proposes a new improved version of HS called Copycat Harmony Search (CcHS) which employs a novel pitch adjustment approach for dynamic bandwidth change and poor solution’s followship toward a good solution. The performance of CcHS is compared to that of the original HS and HS variants with modified pitch adjustment in a set of well-known mathematical benchmark problems. Results obtained show that CcHS outperforms other algorithms in most problems finding the known global optimum.
AB - Harmony Search (HS), one of the most popular metaheuristic optimization algorithms, is inspired by musical improvisation process. HS operators mimic music player’s different behaviors to make the best harmony. For example, harmony memory considering realizes the player’s utilization of a combination of sounds among the good harmony found in the past whereas pitch adjustment is derived from fine pitch tuning. However, at the authors’ best knowledge, there is no harmony search which takes into account the fact that poor music player improves as he/she follows from the good performer. This study proposes a new improved version of HS called Copycat Harmony Search (CcHS) which employs a novel pitch adjustment approach for dynamic bandwidth change and poor solution’s followship toward a good solution. The performance of CcHS is compared to that of the original HS and HS variants with modified pitch adjustment in a set of well-known mathematical benchmark problems. Results obtained show that CcHS outperforms other algorithms in most problems finding the known global optimum.
KW - Copycat harmony search
KW - Improved pitch adjustment
KW - Poor solution’s followship
UR - http://www.scopus.com/inward/record.url?scp=85053257708&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-0761-4_12
DO - 10.1007/978-981-13-0761-4_12
M3 - Conference contribution
AN - SCOPUS:85053257708
SN - 9789811307607
T3 - Advances in Intelligent Systems and Computing
SP - 113
EP - 118
BT - Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018
A2 - Bansal, Jagdish Chand
A2 - Kim, Joong Hoon
A2 - Yadav, Anupam
A2 - Deep, Kusum
A2 - Yadav, Neha
PB - Springer Verlag
Y2 - 7 February 2018 through 9 February 2018
ER -