Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production
At present, response surface methodology (RSM) is the most preferred method for fermentation media optimization. However, in the last two decades, artificial intelligence algorithm has become one of the most efficient methods for empirical modelling and optimization. One of the popular developed app...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2018
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/84731/1/SitiMariyamShamsuddin2019_ComparisonofParticleSwarmOptimizationandResponse.pdf |
| _version_ | 1796863905498136576 |
|---|---|
| author | Suhaimi, Siti Nurulasilah Shamsuddin, Siti Mariyam Ahmad, Wan Azlina Hasan, Shafaatunnur Venil, Chidambaram Kulandaisamy |
| author_facet | Suhaimi, Siti Nurulasilah Shamsuddin, Siti Mariyam Ahmad, Wan Azlina Hasan, Shafaatunnur Venil, Chidambaram Kulandaisamy |
| author_sort | Suhaimi, Siti Nurulasilah |
| collection | ePrints |
| description | At present, response surface methodology (RSM) is the most preferred method for fermentation media optimization. However, in the last two decades, artificial intelligence algorithm has become one of the most efficient methods for empirical modelling and optimization. One of the popular developed approaches is Particle Swarm Optimization (PSO), which is used in optimizing a problem. This paper focuses on comparative studies between RSM and PSO in fermentation media optimization for the production of flexirubin production using Chryseobacterium artocarpi CECT 8497T. Two methodologies were compared for in terms of their modeling, sensitivity analysis, and optimization abilities. All experiments were performed accordingly to box-behnken design (BBD), and the generated data was analyzed using RSM and PSO. The sensitivity analysis performed by both methods has given comparative results. Based on the correlation coefficient, the model developed with PSO was found to be superior to the model developed with RSM. The result shows that PSO gives a better pigmentation yield with optimal fermentation concentration. |
| first_indexed | 2024-03-05T20:33:43Z |
| format | Article |
| id | utm.eprints-84731 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:33:43Z |
| publishDate | 2018 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-847312020-02-29T12:29:11Z http://eprints.utm.my/84731/ Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production Suhaimi, Siti Nurulasilah Shamsuddin, Siti Mariyam Ahmad, Wan Azlina Hasan, Shafaatunnur Venil, Chidambaram Kulandaisamy QA75 Electronic computers. Computer science At present, response surface methodology (RSM) is the most preferred method for fermentation media optimization. However, in the last two decades, artificial intelligence algorithm has become one of the most efficient methods for empirical modelling and optimization. One of the popular developed approaches is Particle Swarm Optimization (PSO), which is used in optimizing a problem. This paper focuses on comparative studies between RSM and PSO in fermentation media optimization for the production of flexirubin production using Chryseobacterium artocarpi CECT 8497T. Two methodologies were compared for in terms of their modeling, sensitivity analysis, and optimization abilities. All experiments were performed accordingly to box-behnken design (BBD), and the generated data was analyzed using RSM and PSO. The sensitivity analysis performed by both methods has given comparative results. Based on the correlation coefficient, the model developed with PSO was found to be superior to the model developed with RSM. The result shows that PSO gives a better pigmentation yield with optimal fermentation concentration. Penerbit UTM Press 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/84731/1/SitiMariyamShamsuddin2019_ComparisonofParticleSwarmOptimizationandResponse.pdf Suhaimi, Siti Nurulasilah and Shamsuddin, Siti Mariyam and Ahmad, Wan Azlina and Hasan, Shafaatunnur and Venil, Chidambaram Kulandaisamy (2018) Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production. Jurnal Teknologi, 8 (2). pp. 53-60. ISSN 2180-3722 https://dx.doi.org/10.11113/jt.v81.10766 DOI:10.11113/jt.v81.10766 |
| spellingShingle | QA75 Electronic computers. Computer science Suhaimi, Siti Nurulasilah Shamsuddin, Siti Mariyam Ahmad, Wan Azlina Hasan, Shafaatunnur Venil, Chidambaram Kulandaisamy Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| title | Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| title_full | Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| title_fullStr | Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| title_full_unstemmed | Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| title_short | Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| title_sort | comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/84731/1/SitiMariyamShamsuddin2019_ComparisonofParticleSwarmOptimizationandResponse.pdf |
| work_keys_str_mv | AT suhaimisitinurulasilah comparisonofparticleswarmoptimizationandresponsesurfacemethodologyinfermentationmediaoptimizationofflexirubinproduction AT shamsuddinsitimariyam comparisonofparticleswarmoptimizationandresponsesurfacemethodologyinfermentationmediaoptimizationofflexirubinproduction AT ahmadwanazlina comparisonofparticleswarmoptimizationandresponsesurfacemethodologyinfermentationmediaoptimizationofflexirubinproduction AT hasanshafaatunnur comparisonofparticleswarmoptimizationandresponsesurfacemethodologyinfermentationmediaoptimizationofflexirubinproduction AT venilchidambaramkulandaisamy comparisonofparticleswarmoptimizationandresponsesurfacemethodologyinfermentationmediaoptimizationofflexirubinproduction |