Design of Synthetic Genetic Oscillators Using Evolutionary Optimization
Efforts have been made to establish computer models of genetic oscillation. We have developed a real structured genetic algorithm (RSGA) which combines advantages of the traditional real genetic algorithm (RGA) with those of the structured genetic algorithm (SGA) and applies it as an optimization st...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2013-01-01
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| Series: | Evolutionary Bioinformatics |
| Online Access: | https://doi.org/10.4137/EBO.S11225 |
| _version_ | 1818494557612933120 |
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| author | Yen-Chang Chang Chun-Liang Lin Tanagorn Jennawasin |
| author_facet | Yen-Chang Chang Chun-Liang Lin Tanagorn Jennawasin |
| author_sort | Yen-Chang Chang |
| collection | DOAJ |
| description | Efforts have been made to establish computer models of genetic oscillation. We have developed a real structured genetic algorithm (RSGA) which combines advantages of the traditional real genetic algorithm (RGA) with those of the structured genetic algorithm (SGA) and applies it as an optimization strategy for genetic oscillator design. For the generalized design, our proposed approach fulfils all types of genes by minimizing the order of oscillator while searching for the optimal network parameters. The design approach is shown to be capable of yielding genetic oscillators with a simpler structure while possessing satisfactory oscillating behavior. In silico experiments show effectiveness of the proposed algorithm to genetic oscillator design. In particular, it is shown that the proposed approach performs better than the traditional GAs in the sense that a cheaper structure of genetic oscillators can be obtained. |
| first_indexed | 2024-12-10T18:08:08Z |
| format | Article |
| id | doaj.art-4be9101ecd6f46c3ac4715bd25be43ad |
| institution | Directory Open Access Journal |
| issn | 1176-9343 |
| language | English |
| last_indexed | 2024-12-10T18:08:08Z |
| publishDate | 2013-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Evolutionary Bioinformatics |
| spelling | doaj.art-4be9101ecd6f46c3ac4715bd25be43ad2022-12-22T01:38:33ZengSAGE PublishingEvolutionary Bioinformatics1176-93432013-01-01910.4137/EBO.S11225Design of Synthetic Genetic Oscillators Using Evolutionary OptimizationYen-Chang Chang0Chun-Liang Lin1Tanagorn Jennawasin2Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, ROC.Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, ROC.Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, ROC.Efforts have been made to establish computer models of genetic oscillation. We have developed a real structured genetic algorithm (RSGA) which combines advantages of the traditional real genetic algorithm (RGA) with those of the structured genetic algorithm (SGA) and applies it as an optimization strategy for genetic oscillator design. For the generalized design, our proposed approach fulfils all types of genes by minimizing the order of oscillator while searching for the optimal network parameters. The design approach is shown to be capable of yielding genetic oscillators with a simpler structure while possessing satisfactory oscillating behavior. In silico experiments show effectiveness of the proposed algorithm to genetic oscillator design. In particular, it is shown that the proposed approach performs better than the traditional GAs in the sense that a cheaper structure of genetic oscillators can be obtained.https://doi.org/10.4137/EBO.S11225 |
| spellingShingle | Yen-Chang Chang Chun-Liang Lin Tanagorn Jennawasin Design of Synthetic Genetic Oscillators Using Evolutionary Optimization Evolutionary Bioinformatics |
| title | Design of Synthetic Genetic Oscillators Using Evolutionary Optimization |
| title_full | Design of Synthetic Genetic Oscillators Using Evolutionary Optimization |
| title_fullStr | Design of Synthetic Genetic Oscillators Using Evolutionary Optimization |
| title_full_unstemmed | Design of Synthetic Genetic Oscillators Using Evolutionary Optimization |
| title_short | Design of Synthetic Genetic Oscillators Using Evolutionary Optimization |
| title_sort | design of synthetic genetic oscillators using evolutionary optimization |
| url | https://doi.org/10.4137/EBO.S11225 |
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