Strain design with Set-based Evolutionary Algorithms (SEAs)

General concept

The space of possible gene or reaction deletion strain designs can be searched using set-based evolutionary algorithms. This method starts with user-specified minimum and maximum reaction deletion numbers. Then reaction deletions are randomly added or removed, and the objective is tested. All members of the population are ordered, and the best is retained. A fraction of designs are crossed with each other to generate new possible design strains. This approach can be applied to gene or reaction deletions.

Items to consider when implementing

Software packages with this method

Applications of interest

Description of study and link to study:

What was learned with this method:

Relevant references

Rocha, et al.

Related methods

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