Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/3015
Título: | A new representation in evolutionary algorithms for the optimization of bioprocesses |
Autor(es): | Rocha, Miguel Rocha, I. Ferreira, Eugénio C. |
Palavras-chave: | Fed-batch fermentation optimization Optimization of feeding trajectories Real-valued representations Variable size chromosomes |
Data: | Set-2005 |
Editora: | IEEE |
Citação: | IEEE CONFERENCE ON EVOLUTIONARY COMPUTATION, Edimburgo, 2005 - "IEEE Conference on Evolutionary Computation : proceedings". Edimburgo : IEEE Press, 2005. ISBN 0-7803-9363-5. p. 484-490. |
Resumo(s): | Evolutionary Algorithms (EAs) have been used to achieve optimal feedforward control in a number of fed-batch fermentation processes. Typically, the optimization purpose is to set the optimal feeding trajectory, being the feeding profile over time given by a piecewise linear function, in order to reduce the number of parameters to the optimization algorithm. In this work, a novel representation scheme for the encoding of the feeding trajectory over time is proposed. Each gene in the variable sized chromosome has two components: a time label and the real value of the variable. The new approach is compared with a traditional real-valued EA, with chromosomes of constant size and fixed discretization steps. Three distinct case studies are presented, taken from previous work from the authors and literature, all considering the optimization of fed-batch fermentation processes. The experimental results show that the proposed approach is capable of results better or at the same level of quality of the best traditional EAs and is able to automatically evolve the best discretization steps for each case, thus simplifying the EA's setup. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/3015 |
ISBN: | 0-7803-9363-5 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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intferm_final.pdf | Versão final do artigo em PDF | 82,76 kB | Adobe PDF | Ver/Abrir |