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Engineering with Computers
Erschienen in: Engineering with Computers 4/2021

21.02.2020 | Original Article

Enhanced a hybrid moth-flame optimization algorithm using new selection schemes

verfasst von: Mohammad Shehab, Hanadi Alshawabkah, Laith Abualigah, Nagham AL-Madi

Erschienen in: Engineering with Computers | Ausgabe 4/2021

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Abstract

This paper presents two levels of enhancing the basic Moth flame optimization (MFO) algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing (HC), called MFOHC. The proposed algorithm takes the advantages of HC to speed up the searching, as well as enhancing the learning technique for finding the generation of candidate solutions of basic MFO. The second step is the addition of six popular selection schemes to improve the quality of the selected solution by giving a chance to solve with high fitness value to be chosen and increase the diversity. In both steps of enhancing, thirty benchmark functions and five IEEE CEC 2011 real-world problems are used to evaluate the performance of the proposed versions. In addition, well-known and recent meta-heuristic algorithms are applied to compare with the proposed versions. The experiment results illustrate that the proportional selection scheme with MFOHC, namely (PMFOHC) is outperforming the other proposed versions and algorithms in the literature.
Vorheriger Artikel Topology optimization of an offshore jacket structure considering aerodynamic, hydrodynamic and structural forces
Nächster Artikel Implementation of non-probabilistic methods for stability analysis of nonlocal beam with structural uncertainties

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Fußnoten
1
The set of benchmark functions in our work is not matched totally with the other sets in the literature. Thus, we selected a group of benchmark function which matched with our work
 
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Metadaten
Titel
Enhanced a hybrid moth-flame optimization algorithm using new selection schemes
verfasst von
Mohammad Shehab
Hanadi Alshawabkah
Laith Abualigah
Nagham AL-Madi
Publikationsdatum
21.02.2020
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 4/2021
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-020-00971-7

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