Literature DB >> 17048033

Genetic algorithm for multi-objective experimental optimization.

Hannes Link1, Dirk Weuster-Botz.   

Abstract

A new software tool making use of a genetic algorithm for multi-objective experimental optimization (GAME.opt) was developed based on a strength Pareto evolutionary algorithm. The software deals with high dimensional variable spaces and unknown interactions of design variables. This approach was evaluated by means of multi-objective test problems replacing the experimental results. A default parameter setting is proposed enabling users without expert knowledge to minimize the experimental effort (small population sizes and few generations).

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Mesh：

Year:  2006        PMID： 17048033      PMCID： PMC1705497          DOI： 10.1007/s00449-006-0087-7

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN： 1615-7591            Impact factor:   3.210


  3 in total

1.  Methods and milliliter scale devices for high-throughput bioprocess design.

Authors:  Dirk Weuster-Botz; Robert Puskeiler; Andreas Kusterer; Klaus Kaufmann; Gernot T John; Matthias Arnold
Journal:  Bioprocess Biosyst Eng       Date:  2005-11-05       Impact factor: 3.210

2.  Experimental design for fermentation media development: statistical design or global random search?

Authors:  D Weuster-Botz
Journal:  J Biosci Bioeng       Date:  2000       Impact factor: 2.894

3.  Comparison of genetic algorithms for experimental multi-objective optimization on the example of medium design for cyanobacteria.

Authors:  Jan Havel; Hannes Link; Michael Hofinger; Ezequiel Franco-Lara; Dirk Weuster-Botz
Journal:  Biotechnol J       Date:  2006-05       Impact factor: 4.677
  3 in total
  3 in total

1.  Experimental optimization of protein refolding with a genetic algorithm.

Authors:  Bernd Anselment; Danae Baerend; Elisabeth Mey; Johannes Buchner; Dirk Weuster-Botz; Martin Haslbeck
Journal:  Protein Sci       Date:  2010-11       Impact factor: 6.725

2.  Modelling and Optimization Studies on a Novel Lipase Production by Staphylococcus arlettae through Submerged Fermentation.

Authors:  Mamta Chauhan; Rajinder Singh Chauhan; Vijay Kumar Garlapati
Journal:  Enzyme Res       Date:  2013-12-19

3.  The application of multiobjective genetic algorithm to the parameter optimization of single-well potential stochastic resonance algorithm aimed at simultaneous determination of multiple weak chromatographic peaks.

Authors:  Haishan Deng; Shaofei Xie; Bingren Xiang; Ying Zhan; Wei Li; Xiaohua Li; Caiyun Jiang; Xiaohong Wu; Dan Liu
Journal:  ScientificWorldJournal       Date:  2014-01-12
  3 in total

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