snake evolution, GP

Genetic programing example at snake evolution simulation.

現在この提出コンテンツをフォロー中です。

http://simulations.narod.ru/

See this anitmation here:
http://www.youtube.com/watch?v=eEvPD0pPvrk

To fast test the code run
zz_fast.m to make evolution
then run zz_motion_terst_1_snakes.m to see history of this evolution as animation of best individuals.

Snake evolution is made as Genenetic programming. Gene Expression Programming (GEP) was used. GEP is developed by FERREIRA. FERREIRA's articles is incuded in pdf files. It is parameterization of binary tree of sequence of mathematics operations.

Snake shape is represented as function f=f(d,t), where t is time. Snake is links where angles between links is controeld with angles phi=phi(t), angles phi is differences of f function. For example:
phi(1)=f(L,t)-f(0,t)
phi(2)=f(2*L,t)-f(L,t)
phi(3)=f(4*L,t)-f(2*L,t)
ect.
So if phi not too big then shape of snake is f(d,t) function.

It is classic GP with crossover and mutations. Two point crossover was used. Elitism was used. In gene head size is 24, that means that formula can have 24 operations max. + - * / sin cos sign operations was used. phi angle cannot be more then pi/2 at absolute value.

引用

Maxim Vedenyov (2026). snake evolution, GP (https://jp.mathworks.com/matlabcentral/fileexchange/33608-snake-evolution-gp), MATLAB Central File Exchange. に取得済み.

カテゴリ

Help Center および MATLAB AnswersGenetic Algorithm についてさらに検索

一般的な情報

MATLAB リリースの互換性

  • すべてのリリースと互換性あり

プラットフォームの互換性

  • Windows
  • macOS
  • Linux
バージョン 公開済み リリース ノート Action
1.0.0.0