Mine blast harmony search and its applications

Ali Sadollah; Ho Min Lee; Do Guen Yoo; Joong Hoon Kim

doi:10.1007/978-3-662-47926-1_16

Mine blast harmony search and its applications

Ali Sadollah, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim

School of Civil, Environmental and Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.1007/978-3-662-47926-1_16
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

Sadollah, A., Lee, H. M., Yoo, D. G., & Kim, J. H. (2016). Mine blast harmony search and its applications. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 155-168). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_16

Sadollah, A, Lee, HM, Yoo, DG & Kim, JH 2016, Mine blast harmony search and its applications. in Advances in Intelligent Systems and Computing. vol. 382, Advances in Intelligent Systems and Computing, vol. 382, Springer Verlag, pp. 155-168, 2nd International Conference on Harmony Search Algorithm, ICHSA 2015, Seoul, Korea, Republic of, 15/8/19. https://doi.org/10.1007/978-3-662-47926-1_16

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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.",

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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.

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Access to Document

10.1007/978-3-662-47926-1_16