Comparison of GA and PSO performance in parameter estimation of microbial growth models: a case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a model for the growth kinetics of the yeast Debaryomyces hansenii. Fitting the model’s predictions simultaneously to three...
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| Other Authors: | , , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10400.9/1122 |
| Country: | Portugal |
| Oai: | oai:repositorio.lneg.pt:10400.9/1122 |