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...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2011
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| Texto completo: | http://hdl.handle.net/10400.9/1122 |
| País: | Portugal |
| Oai: | oai:repositorio.lneg.pt:10400.9/1122 |