Scilab Home page | Wiki | Bug tracker | Forge | Mailing list archives | ATOMS | File exchange
Please login or create an account
Change language to: English - Français - Português - Русский

Please note that the recommended version of Scilab is 6.1.0. This page might be outdated.
See the recommended documentation of this function

Scilabヘルプ >> Genetic Algorithms > Utilities > coding_ga_binary

# coding_ga_binary

A function which performs conversion between binary and continuous representation

### Calling Sequence

`pop_out = coding_ga_binary(pop_in,direction,param)`

### Arguments

pop_in

a list which contains all the individuals in the current population.

direction

'code' or 'decode'. If direction == 'code' then we perform a continuous to binary encoding. Else, we convert from binary to continuous.

param

a parameter list.

• 'binary_length': the number of bits by variables. If binary_length = 8 and the variable X is of dimension 2 then the binary code will be 16 bits length.

• 'minboun': a vector of minimum bounds for the variable X.

• 'maxbound': a vector of maximum bounds for the variable X.

pop_out

the population coded to binary or decoded to continuous values.

### Description

• This function allows to code or decode a population of individuals from (resp. to) continuous variables to (resp. from) binary.

### Examples

```pop_in = list();
pop_in(1) = 2;

pop_out = coding_ga_binary(pop_in,'code',[])
// Will return 11111111

pop_in_2 = coding_ga_binary(pop_out,'decode',[])
// Should be 2```

### Comments

Add a comment:
Please login to comment this page.

 Report an issue << Utilities Utilities coding_ga_identity >>

 Scilab EnterprisesCopyright (c) 2011-2017 (Scilab Enterprises)Copyright (c) 1989-2012 (INRIA)Copyright (c) 1989-2007 (ENPC)with contributors Last updated:Wed Apr 01 10:25:03 CEST 2015