Abstract
A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mine blast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.
| Original language | English |
|---|---|
| Title of host publication | Advances in Intelligent Systems and Computing |
| Publisher | Springer Verlag |
| Pages | 155-168 |
| Number of pages | 14 |
| Volume | 382 |
| 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 |
|---|---|
| Volume | 382 |
| ISSN (Print) | 21945357 |
Other
| Other | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 15/8/19 → 15/8/21 |
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Keywords
- Global optimization
- Harmony search
- Hybrid metaheuristic methods
- Large-scale problems
- Mine blast algorithm
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
Mine blast harmony search and its applications. / Sadollah, Ali; Lee, Ho Min; Yoo, Do Guen; Kim, Joong Hoon.
Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. p. 155-168 (Advances in Intelligent Systems and Computing; Vol. 382).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Mine blast harmony search and its applications
AU - Sadollah, Ali
AU - Lee, Ho Min
AU - Yoo, Do Guen
AU - Kim, Joong Hoon
PY - 2016
Y1 - 2016
N2 - A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mine blast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.
AB - A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mine blast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.
KW - Global optimization
KW - Harmony search
KW - Hybrid metaheuristic methods
KW - Large-scale problems
KW - Mine blast algorithm
UR - http://www.scopus.com/inward/record.url?scp=84946763024&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946763024&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-47926-1_16
DO - 10.1007/978-3-662-47926-1_16
M3 - Conference contribution
AN - SCOPUS:84946763024
SN - 9783662479254
VL - 382
T3 - Advances in Intelligent Systems and Computing
SP - 155
EP - 168
BT - Advances in Intelligent Systems and Computing
PB - Springer Verlag
ER -