A Comparison of Chaotic Electromagnetic Field Optimization Algorithms
This paper investigates the performance of various Electromagnetic Field Optimization (EFO) algorithms. Chaos maps are proposed to improve the performance of EFO algorithms. Ten chaotic maps are incorporated in EFO – Chebyshev, Circle, Gauss, Iterative, Logistic, Piecewise, Sine, Singer, Sinusoidal...
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| Format: | Article |
| Language: | English |
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Bulgarian Academy of Sciences
2024-12-01
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| Series: | International Journal Bioautomation |
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| Online Access: | http://www.biomed.bas.bg/bioautomation/2024/vol_28.4/files/28.4_06.pdf |
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| _version_ | 1841553390351417344 |
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| author | Olympia Roeva Dafina Zoteva |
| author_facet | Olympia Roeva Dafina Zoteva |
| author_sort | Olympia Roeva |
| collection | DOAJ |
| description | This paper investigates the performance of various Electromagnetic Field Optimization (EFO) algorithms. Chaos maps are proposed to improve the performance of EFO algorithms. Ten chaotic maps are incorporated in EFO – Chebyshev, Circle, Gauss, Iterative, Logistic, Piecewise, Sine, Singer, Sinusoidal and Tent. To compare the performance of the constructed EFO algorithms, a case study of the identification of the model parameters of a cultivation process model is studied. An experimental data set from E. coli BL21(DE3)pPhyt109 fed-batch cultivation process is used. Based on the results of 30 runs of each EFO, some statistical and InterCriteria analyzes are performed. As a result, the best performing EFO algorithms are iterative EFO and tent chaotic map EFO. These algorithms gave the best objective value (best and mean value) and had a good distribution of results. |
| format | Article |
| id | doaj-art-87f3ec643e1c402ca2347d99d39e5a39 |
| institution | Kabale University |
| issn | 1314-1902 1314-2321 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Bulgarian Academy of Sciences |
| record_format | Article |
| series | International Journal Bioautomation |
| spelling | doaj-art-87f3ec643e1c402ca2347d99d39e5a392025-01-09T10:27:32ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212024-12-0128424526510.7546/ijba.2024.28.4.000970A Comparison of Chaotic Electromagnetic Field Optimization AlgorithmsOlympia Roeva0Dafina ZotevaDepartment of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of SciencesThis paper investigates the performance of various Electromagnetic Field Optimization (EFO) algorithms. Chaos maps are proposed to improve the performance of EFO algorithms. Ten chaotic maps are incorporated in EFO – Chebyshev, Circle, Gauss, Iterative, Logistic, Piecewise, Sine, Singer, Sinusoidal and Tent. To compare the performance of the constructed EFO algorithms, a case study of the identification of the model parameters of a cultivation process model is studied. An experimental data set from E. coli BL21(DE3)pPhyt109 fed-batch cultivation process is used. Based on the results of 30 runs of each EFO, some statistical and InterCriteria analyzes are performed. As a result, the best performing EFO algorithms are iterative EFO and tent chaotic map EFO. These algorithms gave the best objective value (best and mean value) and had a good distribution of results.http://www.biomed.bas.bg/bioautomation/2024/vol_28.4/files/28.4_06.pdfchaotic mapselectromagnetic field optimizationintercriteria analysise. coli bl21(de3)pphyt109 fed-batch cultivation |
| spellingShingle | Olympia Roeva Dafina Zoteva A Comparison of Chaotic Electromagnetic Field Optimization Algorithms International Journal Bioautomation chaotic maps electromagnetic field optimization intercriteria analysis e. coli bl21(de3)pphyt109 fed-batch cultivation |
| title | A Comparison of Chaotic Electromagnetic Field Optimization Algorithms |
| title_full | A Comparison of Chaotic Electromagnetic Field Optimization Algorithms |
| title_fullStr | A Comparison of Chaotic Electromagnetic Field Optimization Algorithms |
| title_full_unstemmed | A Comparison of Chaotic Electromagnetic Field Optimization Algorithms |
| title_short | A Comparison of Chaotic Electromagnetic Field Optimization Algorithms |
| title_sort | comparison of chaotic electromagnetic field optimization algorithms |
| topic | chaotic maps electromagnetic field optimization intercriteria analysis e. coli bl21(de3)pphyt109 fed-batch cultivation |
| url | http://www.biomed.bas.bg/bioautomation/2024/vol_28.4/files/28.4_06.pdf |
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