Basic introduction about Genetic algorithm for beginners

Version 1.1.0.0 (2,21 KB) von Selva
genetic algorithm and its using method with example
629 Downloads
Aktualisiert 13. Sep 2017

Lizenz anzeigen

I will put in with a simple example. There are 3 variables x,y and z.
The problem is to find the best values of x y and z so that their total value is under a threshold t.
We have another criterion which states that the sum of x and y should be equal to z.
So we create a population of x,y and z.
We calculate the fitness for x+y+z <=t; and evaluate with x+y = z to find optimal values of x,y and z.

fitness=x+y+z. if you want to minimize certain variables then use possible sign otherwise use negative sign

i.e if u want x,y,z pairs to be as least as possible then use positive signs in fitness for that particular variable.

Zitieren als

Selva (2024). Basic introduction about Genetic algorithm for beginners (https://www.mathworks.com/matlabcentral/fileexchange/64215-basic-introduction-about-genetic-algorithm-for-beginners), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2012b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Genetic Algorithm finden Sie in Help Center und MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.1.0.0

edit

1.0.0.0

edit
edit

edit