Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions

Mahmut Dirik

doi:10.33187/jmsm.1115792

EN

Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions

Abstract

Meta-heuristic optimization algorithms are used in many application areas to solve optimization problems. In recent years, meta-heuristic optimization algorithms have gained importance over deterministic search algorithms in solving optimization problems. However, none of the techniques are equally effective in solving all optimization problems. Therefore, researchers have focused on either improving current meta-heuristic optimization techniques or developing new ones. Many alternative meta-heuristic algorithms inspired by nature have been developed to solve complex optimization problems. It is important to compare the performances of the developed algorithms through statistical analysis and determine the better algorithm. This paper compares the performances of sixteen meta-heuristic optimization algorithms (AWDA, MAO, TSA, TSO, ESMA, DOA, LHHO, DSSA, LSMA, AOSMA, AGWOCS, CDDO, GEO, BES, LFD, HHO) presented in the literature between 2021 and 2022. In this context, various test functions, including single-mode, multi-mode, and fixed-size multi-mode benchmark functions, were used to evaluate the efficiency of the algorithms used.

Keywords

Benchmark test function, Bio-inspired, Global optimization, Meta-heuristics, Optimization

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Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Authors

Mahmut Dirik ^*
0000-0003-1718-5075
Türkiye

Publication Date

December 1, 2022

Submission Date

May 12, 2022

Acceptance Date

October 20, 2022

Published in Issue

Year 2022 Volume: 5 Number: 3

DOI

https://doi.org/10.33187/jmsm.1115792

IZ

https://izlik.org/JA96FT45AD

APA

Dirik, M. (2022). Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions. Journal of Mathematical Sciences and Modelling, 5(3), 113-124. https://doi.org/10.33187/jmsm.1115792

AMA

1.Dirik M. Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions. Journal of Mathematical Sciences and Modelling. 2022;5(3):113-124. doi:10.33187/jmsm.1115792

Chicago

Dirik, Mahmut. 2022. “Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions”. Journal of Mathematical Sciences and Modelling 5 (3): 113-24. https://doi.org/10.33187/jmsm.1115792.

EndNote

Dirik M (December 1, 2022) Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions. Journal of Mathematical Sciences and Modelling 5 3 113–124.

IEEE

[1]M. Dirik, “Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions”, Journal of Mathematical Sciences and Modelling, vol. 5, no. 3, pp. 113–124, Dec. 2022, doi: 10.33187/jmsm.1115792.

ISNAD

Dirik, Mahmut. “Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions”. Journal of Mathematical Sciences and Modelling 5/3 (December 1, 2022): 113-124. https://doi.org/10.33187/jmsm.1115792.

JAMA

1.Dirik M. Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions. Journal of Mathematical Sciences and Modelling. 2022;5:113–124.

MLA

Dirik, Mahmut. “Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions”. Journal of Mathematical Sciences and Modelling, vol. 5, no. 3, Dec. 2022, pp. 113-24, doi:10.33187/jmsm.1115792.

Vancouver

1.Mahmut Dirik. Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions. Journal of Mathematical Sciences and Modelling. 2022 Dec. 1;5(3):113-24. doi:10.33187/jmsm.1115792

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Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions

Abstract

Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

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