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Scilab help >> Genetic Algorithms > Utilities > init_ga_default

# init_ga_default

A function a initialize a population

### Calling Sequence

`Pop_init = init_ga_default(popsize,param)`

### Arguments

popsize

the number of individuals to generate.

param

a list of parameters.

• "dimension": the size of the vector X. Default dimension=2.

• "minbound": a vector of minimum bounds for the variable X. Default minbound = -2*ones(1,dimension).

• "maxbound": a vector of maximum bounds for the variable X. Default maxbound=2*ones(1,dimension).

Pop_init

a list which contains the initial population of individuals.

### Description

This function generate an initial population containing pop_size individuals. It uses the rand function to generate the points uniformly distributed in the bounds. As a side effect, it modifies the state of the random generator of the rand function. Other initial populations might be generated from the grand function, or any other uniform random generator (including low discrepancy sequences). In the case were we want to compute another initial population, we might define our own init function: in this case, we may use the init_ga_default function as a template and plug our customized population generator.

### Examples

```// Generate 10 points in 2 dimensions, in the
// interval [-2,2]^2.
popsize = 10;
ga_params = init_param();
ga_params = add_param(ga_params,"dimension",2);
ga_params = add_param(ga_params,"minbound",[-2; -2]);
ga_params = add_param(ga_params,"maxbound",[2; 2]);
Pop_init = init_ga_default(popsize,ga_params);
for k = 1 : popsize
x = Pop_init(k);
xstr = strcat(string(x)," ");
mprintf("x[%d]=[%s]\n",k,xstr);
end```

### See Also

 Report an issue << crossover_ga_default Utilities mutation_ga_binary >>

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