4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems

Ali Sadollah; Joong Hoon Kim; Young Hwan Choi; Negar Karamoddin

doi:10.1007/978-3-030-31967-0_23

4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems

Ali Sadollah, Joong Hoon Kim, Young Hwan Choi, Negar Karamoddin

School of Civil, Environmental and Architectural Engineering

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

Abstract

This paper proposes an enhanced harmony search algorithm for solving computationally expensive benchmarks widely used in the literature. We explored the potential and applicability of the original harmony search (HS) algorithm through introducing an extended version of the algorithm integrated with a new dynamic search equation enabling the algorithm to take guided larger steps at the beginning of the search. In the 4-Rule Harmony Search (4RHS), an extra rule is added to the standard HS without adding any user parameters to existing initial parameters. The 4RHS algorithm is then tested through optimal solving of different well-known and well-used benchmarks from classical to so CEC’ 2015 series, where the results of the 4RHS are compared with simple and improved version of HS algorithms as well as other optimization techniques. The obtained optimization results show the attractiveness of the added rule into the standard HS.

Original language	English
Title of host publication	Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019
Editors	Joong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav
Publisher	Springer
Pages	202-209
Number of pages	8
ISBN (Print)	9783030319663
DOIs	https://doi.org/10.1007/978-3-030-31967-0_23
Publication status	Published - 2020
Event	5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, China Duration: 2019 Jul 20 → 2019 Jul 22

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1063
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
Country/Territory	China
City	Kunming
Period	19/7/20 → 19/7/22

Keywords

4-Rule harmony search
Benchmark
Computationally expensive
Harmony search
Optimal design

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-030-31967-0_23

Cite this

Sadollah, A., Kim, J. H., Choi, Y. H., & Karamoddin, N. (2020). 4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems. In J. H. Kim, Z. W. Geem, D. Jung, D. G. Yoo, & A. Yadav (Eds.), Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019 (pp. 202-209). (Advances in Intelligent Systems and Computing; Vol. 1063). Springer. https://doi.org/10.1007/978-3-030-31967-0_23

4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems. / Sadollah, Ali; Kim, Joong Hoon; Choi, Young Hwan et al.

Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. ed. / Joong Hoon Kim; Zong Woo Geem; Donghwi Jung; Do Guen Yoo; Anupam Yadav. Springer, 2020. p. 202-209 (Advances in Intelligent Systems and Computing; Vol. 1063).

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

Sadollah, A, Kim, JH, Choi, YH & Karamoddin, N 2020, 4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems. in JH Kim, ZW Geem, D Jung, DG Yoo & A Yadav (eds), Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. Advances in Intelligent Systems and Computing, vol. 1063, Springer, pp. 202-209, 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, 19/7/20. https://doi.org/10.1007/978-3-030-31967-0_23

Sadollah A, Kim JH, Choi YH, Karamoddin N. 4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems. In Kim JH, Geem ZW, Jung D, Yoo DG, Yadav A, editors, Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. Springer. 2020. p. 202-209. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-31967-0_23

Sadollah, Ali ; Kim, Joong Hoon ; Choi, Young Hwan et al. / 4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems. Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. editor / Joong Hoon Kim ; Zong Woo Geem ; Donghwi Jung ; Do Guen Yoo ; Anupam Yadav. Springer, 2020. pp. 202-209 (Advances in Intelligent Systems and Computing).

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N2 - This paper proposes an enhanced harmony search algorithm for solving computationally expensive benchmarks widely used in the literature. We explored the potential and applicability of the original harmony search (HS) algorithm through introducing an extended version of the algorithm integrated with a new dynamic search equation enabling the algorithm to take guided larger steps at the beginning of the search. In the 4-Rule Harmony Search (4RHS), an extra rule is added to the standard HS without adding any user parameters to existing initial parameters. The 4RHS algorithm is then tested through optimal solving of different well-known and well-used benchmarks from classical to so CEC’ 2015 series, where the results of the 4RHS are compared with simple and improved version of HS algorithms as well as other optimization techniques. The obtained optimization results show the attractiveness of the added rule into the standard HS.

AB - This paper proposes an enhanced harmony search algorithm for solving computationally expensive benchmarks widely used in the literature. We explored the potential and applicability of the original harmony search (HS) algorithm through introducing an extended version of the algorithm integrated with a new dynamic search equation enabling the algorithm to take guided larger steps at the beginning of the search. In the 4-Rule Harmony Search (4RHS), an extra rule is added to the standard HS without adding any user parameters to existing initial parameters. The 4RHS algorithm is then tested through optimal solving of different well-known and well-used benchmarks from classical to so CEC’ 2015 series, where the results of the 4RHS are compared with simple and improved version of HS algorithms as well as other optimization techniques. The obtained optimization results show the attractiveness of the added rule into the standard HS.

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4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this