Differential Evolution for the Offline and Online Optimization of Fed-Batch Fermentation Processes

Studies in Computational Intelligence - Germany
doi 10.1007/978-3-540-68830-3_13
Full Text
Abstract

Available in full text

Date

Unknown

Authors
Publisher

Springer Berlin Heidelberg

Related search

Evolutionary Optimization of a Fed-Batch Penicillin Fermentation Process

2010English

Modelling Fed-Batch Fermentation Processes: An Approach Based on Artificial Neural Networks

2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008)
English

Spruce Sugars and Poultry Hydrolysate as Growth Medium in Repeated Fed-Batch Fermentation Processes for Production of Yeast Biomass

Bioprocess and Biosystems Engineering
MedicineBioengineeringBiotechnology
2019English

Intra-Batch Evolution Based Process Monitoring for Multiphase Batch Processes

IFAC Proceedings Volumes
2014English

Multivariate Batch to Batch Optimisation of Fermentation Processes Incorporating Validity Constraints

Journal of Process Control
ControlSystems EngineeringIndustrialManufacturing EngineeringSimulationComputer Science ApplicationsModeling
2016English

Recommendations for Comparison of Productivity Between Fed-Batch and Perfusion Processes

Biotechnology Journal
Applied MicrobiologyBiotechnologyMolecular MedicineMedicine
2018English

Comparison Across Growth Kinetic Models of Alkaline Protease Production in Batch and Fed-Batch Fermentation Using Hybrid Genetic Algorithm and Particle Swarm Optimization

Biotechnology and Biotechnological Equipment
Biotechnology
2015English

A Control Algorithm for the Optimization of Batch Reactor-Based Processes

Fluid Dynamics and Materials Processing
Materials Science
2019English

Fed-Batch L -(+)-Lactic Acid Fermentation of Brewer's Spent Grain Hydrolysate

Journal of the Institute of Brewing
Food Science
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy