Scilab Website | Contribute with GitLab | Mailing list archives | ATOMS toolboxes
Scilab Online Help
5.3.2 - English

Change language to:
Français - 日本語 - Português

Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function

Scilab help >> Genetic Algorithms > 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.

See Also

Authors

Yann COLLETTE

ycollet@freesurf.fr

<< Genetic Algorithms Genetic Algorithms coding_ga_identity >>

Copyright (c) 2022-2024 (Dassault Systèmes)
Copyright (c) 2017-2022 (ESI Group)
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Thu May 12 11:44:25 CEST 2011