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Optimization of fed-batch fermentation processes with bio-inspired algorithms

  • Expert Systems with Applications, 41(5), 2186-2195, 2014

Publisher: Elsevier


The optimization of the feeding trajectories in fed-batch fermentation processes is a complex problem that has gained attention given its significant economical impact. A number of bio-inspired algorithms have approached this task with considerable success, but systematic and statistically significant comparisons of the different alternatives are still lacking. In this paper, the performance of different metaheuristics, such as Evolutionary Algorithms (EAs), Differential Evolution (DE) and Particle Swarm Optimization (PSO) is compared, resorting to several case studies taken from literature an ...

CEB Authors



ISI Web of Science® Citations: 19


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