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See the recommended documentation of this function

Aide de Scilab >> Algorithmes génétiques > Utilities > mutation_ga_binary


A function which performs binary mutation


[Mut_Indiv, pos] = mutation_ga_binary(Indiv,param)



A string.

The individual on which we will perform the mutation.


a list of parameters.

  • "binary_length": an integer scalar, the size of the binary code.

  • "multi_mut": a boolean. If %T, several random bits will be flipped.

  • "multi_mut_nb": an integer scalar, the number of bits to be flipped. Only used when multi_mut is set to %T (default 2).


A string.

The mutated individual.


A vector of integers.

The positions of the mutated bits.


This function performs a classical multi-bits binary mutation.

This generates the individual Mut_Indiv by inverting bits on random positions.

By default mutation_ga_binary(Indiv) selects randomly an index i between 1 and length(Indiv). It then modifies the i-th character of Indiv to 1 if it was 0, or 0 if it was 1.

If "multi_mut" is set to %T multiple mutations may occur. The maximal number of mutation is given by "multi_mut_nb".

Random number generator

mutation_ga_binary is based on grand for generating the random samples. Use grand("setsd", seed) to change the seed for crossover_ga_binary.

seed = getdate("s");
grand("setsd", seed); //sets the seed to current date

seed = 0;
grand("setsd", seed); //sets the seed to default value


[Mut_Indiv, pos] = mutation_ga_binary(Indiv)

// With multiple mutation
[Mut_Indiv, pos] = mutation_ga_binary(Indiv,param)

See also

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Last updated:
Mon Feb 12 19:15:31 CET 2018