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

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

2 Citations (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	Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015
Editors	Zong Woo Geem, Joong Hoon Kim
Publisher	Springer Verlag
Pages	155-168
Number of pages	14
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)	2194-5357

Other

Other	2nd International Conference on Harmony Search Algorithm, ICHSA 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	15/8/19 → 15/8/21

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2016.

Keywords

Global optimization
Harmony search
Hybrid metaheuristic methods
Large-scale problems
Mine blast algorithm

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

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

Cite this

Sadollah, A., Lee, H. M., Yoo, D. G., & Kim, J. H. (2016). Mine blast harmony search and its applications. In Z. W. Geem, & J. H. Kim (Eds.), Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 (pp. 155-168). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_16

Mine blast harmony search and its applications. / Sadollah, Ali; Lee, Ho Min; Yoo, Do Guen et al.
Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015. ed. / Zong Woo Geem; Joong Hoon Kim. Springer Verlag, 2016. p. 155-168 (Advances in Intelligent Systems and Computing; Vol. 382).

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

Sadollah, A, Lee, HM, Yoo, DG & Kim, JH 2016, Mine blast harmony search and its applications. in ZW Geem & JH Kim (eds), Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015. 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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author = "Ali Sadollah and Lee, {Ho Min} and Yoo, {Do Guen} and Kim, {Joong Hoon}",

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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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Mine blast harmony search and its applications

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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