NSGA II: A multi-objective optimization program

A function for multi-objective optimization using evolutionary algorithms, but easier to use

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This program is an implementation of nondominated sorting genetic algorithm II (NSGA II) proposed by K.Deb.
1.NSGA II
2.Coding:real
3.GA operator: Intermediate crossover,Gaussian mutation
4.No constraint handling
5.Non dominated sort: with function to kill near relatives, and easier to handle problems with more objectives
I write this program because Aravind Seshadri's program(File ID: #10429) is difficult to use, and could not handle my problem. I need a sophisticated objective-evaluate program to solve vehicle chassis tuning problems, and also I donot like programs always turn to me for parameters input, besides, I want the program should be short in lines and has the ability to handle matrix.
NOTE: If the program doesn't run correctly, please contact me in email: fancy60@126.com.

Citation pour cette source

Shengzhao Chen (2026). NSGA II: A multi-objective optimization program (https://fr.mathworks.com/matlabcentral/fileexchange/49934-nsga-ii-a-multi-objective-optimization-program), MATLAB Central File Exchange. Extrait(e) le .

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0.0.0