Abstract
The Harmony Search algorithm (HSA) is inspired by musical improvisation process searching for a perfect state of harmony. Although many variants have been released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-Free methods and Selfadaptive methods. These methods have been applied in various research areas (e.g., mathematics, civil engineering, mechanic engineering, and economics) and considered different formulations for solving their problems. This study applies Self-adaptive methods in the multi-objective HSA framework to solve an engineering problem (i.e., water distribution network design). It can be efficiently applied to the search for Pareto optimal solutions in the multi-objective solution space.
| Original language | English |
|---|---|
| Title of host publication | Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) |
| Publisher | Springer Verlag |
| Pages | 15-21 |
| Number of pages | 7 |
| Volume | 514 |
| ISBN (Print) | 9789811037276 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain Duration: 2017 Feb 22 → 2017 Feb 24 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 514 |
| ISSN (Print) | 21945357 |
Other
| Other | Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 |
|---|---|
| Country | Spain |
| City | Bilbao |
| Period | 17/2/22 → 17/2/24 |
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Keywords
- Harmony search algorithm
- Parameter-setting-free method
- Self-adaptive method
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
Application of self-adaptive method in multi-objective harmony search algorithm. / Choi, Young Hwan; Lee, Ho Min; Yoo, Do Guen; Kim, Joong Hoon.
Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017). Vol. 514 Springer Verlag, 2017. p. 15-21 (Advances in Intelligent Systems and Computing; Vol. 514).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Application of self-adaptive method in multi-objective harmony search algorithm
AU - Choi, Young Hwan
AU - Lee, Ho Min
AU - Yoo, Do Guen
AU - Kim, Joong Hoon
PY - 2017
Y1 - 2017
N2 - The Harmony Search algorithm (HSA) is inspired by musical improvisation process searching for a perfect state of harmony. Although many variants have been released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-Free methods and Selfadaptive methods. These methods have been applied in various research areas (e.g., mathematics, civil engineering, mechanic engineering, and economics) and considered different formulations for solving their problems. This study applies Self-adaptive methods in the multi-objective HSA framework to solve an engineering problem (i.e., water distribution network design). It can be efficiently applied to the search for Pareto optimal solutions in the multi-objective solution space.
AB - The Harmony Search algorithm (HSA) is inspired by musical improvisation process searching for a perfect state of harmony. Although many variants have been released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-Free methods and Selfadaptive methods. These methods have been applied in various research areas (e.g., mathematics, civil engineering, mechanic engineering, and economics) and considered different formulations for solving their problems. This study applies Self-adaptive methods in the multi-objective HSA framework to solve an engineering problem (i.e., water distribution network design). It can be efficiently applied to the search for Pareto optimal solutions in the multi-objective solution space.
KW - Harmony search algorithm
KW - Parameter-setting-free method
KW - Self-adaptive method
UR - http://www.scopus.com/inward/record.url?scp=85012146167&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85012146167&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-3728-3_3
DO - 10.1007/978-981-10-3728-3_3
M3 - Conference contribution
AN - SCOPUS:85012146167
SN - 9789811037276
VL - 514
T3 - Advances in Intelligent Systems and Computing
SP - 15
EP - 21
BT - Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
PB - Springer Verlag
ER -