TY - GEN
T1 - Freestyle Rap Harmony Search (FRHS) for Engineering Problem Optimization
AU - Min, Kyoung Won
AU - Jung, Donghwi
AU - Kim, Joong Hoon
N1 - Funding Information:
Acknowledgments This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2B5B03069810).
Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - A maximum benefit with minimum cost has been pursued in the optimal design of water distribution systems (WDSs). For this problem, trial-and-error methods, mathematical approaches, dynamic programming, and meta-heuristic techniques have been proposed while satisfying all the hydraulic constraints such as minimum pressure and demand. Recently, various variants of HSA mostly with multiple harmony memories and hierarchical memories have drawn a lot of attention because of their promising search. In this study, we propose a new version of HSA, freestyle rap harmony search (FRHS), with multiple memories among which different types of solutions are shuffled. The core properties of Freestyle rap are Rhyme, Flow, and Punch line. In FRHS algorithm, multiple Harmony Memories (HMs) are created as flow property in freestyle rap. When the value of the number of solution vector generations (NSVG) is above a certain value as a parameter, the bad solution of each HM is replaced by the good solution of the neighboring HM. The movement of the harmony memory vector is like a rhyme property with similar pronunciation repeated. When NSVG is above a certain value as a parameter, this condition is the same as the property of the punch line, the most shocking part of the freestyle rap. First, to check the performance of the algorithm, FRHS is applied to the least-cost design of WDSs. The performance of FRHS and HS is evaluated by how fast to find nearly global optimal solution. FRHS converges to the nearly global optimal solution faster than HS.
AB - A maximum benefit with minimum cost has been pursued in the optimal design of water distribution systems (WDSs). For this problem, trial-and-error methods, mathematical approaches, dynamic programming, and meta-heuristic techniques have been proposed while satisfying all the hydraulic constraints such as minimum pressure and demand. Recently, various variants of HSA mostly with multiple harmony memories and hierarchical memories have drawn a lot of attention because of their promising search. In this study, we propose a new version of HSA, freestyle rap harmony search (FRHS), with multiple memories among which different types of solutions are shuffled. The core properties of Freestyle rap are Rhyme, Flow, and Punch line. In FRHS algorithm, multiple Harmony Memories (HMs) are created as flow property in freestyle rap. When the value of the number of solution vector generations (NSVG) is above a certain value as a parameter, the bad solution of each HM is replaced by the good solution of the neighboring HM. The movement of the harmony memory vector is like a rhyme property with similar pronunciation repeated. When NSVG is above a certain value as a parameter, this condition is the same as the property of the punch line, the most shocking part of the freestyle rap. First, to check the performance of the algorithm, FRHS is applied to the least-cost design of WDSs. The performance of FRHS and HS is evaluated by how fast to find nearly global optimal solution. FRHS converges to the nearly global optimal solution faster than HS.
KW - Freestyle
KW - Harmony search
KW - Optimization
KW - Rap
KW - Water distribution system
UR - http://www.scopus.com/inward/record.url?scp=85097055084&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-8603-3_3
DO - 10.1007/978-981-15-8603-3_3
M3 - Conference contribution
AN - SCOPUS:85097055084
SN - 9789811586026
T3 - Advances in Intelligent Systems and Computing
SP - 21
EP - 31
BT - Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2020
A2 - Nigdeli, Sinan Melih
A2 - Bekdas, Gebrail
A2 - Kim, Joong Hoon
A2 - Yadav, Anupam
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020
Y2 - 22 April 2020 through 24 April 2020
ER -