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baumhaus.digital/Design & Computation/Perspectives in Engineering/IOPS/Nature-inspired heuristics/Evolutionary optimization/Genetic Algorithm/Variation/Mutation

for numeric genes: additive mutation, multiplicative mutation, complex (imaginary) mutation

for symbolic ones: removal, addition or replacement of a symbol; metathesis (e.g. MORF -> FORM)

NOTE: Mutation rates often fall in the range of 0.5% to 1% per gene. This rate is low enough to prevent excessive random search (which can disrupt good solutions) and high enough to introduce diversity and enable the algorithm to explore new areas of the solution space.

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