Using an improved bee memory differential evolution algorithm for parameter estimation to simulate biochemical pathways
When analyzing a metabolic pathway in a mathematical model, it is important that the essential parameters are estimated correctly. However, this process often faces few problems like when the number of unknown parameters increase, trapping of data in the local minima, repeated exposure to bad result...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
World Scientific Publishing Company
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/63185/ http://dx.doi.org/10.1142/S0218339014500065 |
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