φ-evo is an in silico evolution software. It searches a network that satisfies at best a fitness function by recursively adding, modifying, or removing interaction and species. The optimization process follows a genetic algorithm. Out of a population of N networks, only the fittest ones are selected to produce the next generation.
The documentation is hosted on ReadTheDocs.
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phievo is developped in Paul francois group at McGill university.