Robust Multi-Objective Global Optimization of Stochastic Processes With a Case Study in Gradient Elution Chromatography-Reference-Cited by-同舟云学术

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Robust Multi-Objective Global Optimization of Stochastic Processes With a Case Study in Gradient Elution Chromatography

Published:2017-10-25 Issue:1 Volume:13 Page:1700257
ISSN:1860-6768
Container-title:Biotechnology Journal
language:en
Short-container-title:Biotechnol. J.

Author:

Freier Lars¹,von Lieres Eric¹^ORCID

Affiliation:

1. IBG-1: Biotechnology, Forschungszentrum Jülich; Wilhelm-Johnen-Straße 1 Jülich 52425 Germany

Funder

CLIB Graduate Cluster Industrial Biotechnology

Publisher

Wiley

Subject

Molecular Medicine,Applied Microbiology and Biotechnology,General Medicine

Reference35 articles.

1. APPLICATIONS OF MULTIOBJECTIVE OPTIMIZATION IN CHEMICAL ENGINEERING

2. A Model-Based Approach to Determine the Design Space of Preparative Chromatography

3. Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm

4. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art

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4. A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes;Processes;2020-01-03

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