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

Author:

Havel Jan,Link Hannes,Hofinger Michael,Franco-Lara Ezequiel,Weuster-Botz Dirk

Publisher

Wiley

Subject

Molecular Medicine,Applied Microbiology and Biotechnology,General Medicine

Reference20 articles.

1. Effect of experimental error on the efficiency of different optimization methods for bioprocess media optimization

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

3. Rechenberg, I., Optimierung technischer Systeme nach Prinzipien der biologischen Evolution, Friedrich Frommann Verlag 1973.

4. Holland, H.J.: Adaption in Natural and Artificial Systems, an introductory analysis with application to biology, control and artificial intelligence. The University of Michigan Press, Ann Arbor 1975.

5. Schaffer, J.D.: Multi-objective optimization with vector evaluated genetic algorithms, in: Grufenstette, J.J. (Ed.), Proceedings of the 1st International Conference on Genetic Algorithms, Laurence Erlbaum Associates, In., Pittsburgh, 1985, pp. 93–100.

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