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Tag Archives: NSGA

NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version

Jan and Deb, extended the well-know NSGA-II to deal with many-objective optimization problem, using a reference point approach, with non-dominated sorting mechanism. The newly developed algorithm is simply called: NSGA-III. The main reference paper is available to download, here. In this post, we are going to share with you, the MATLAB implementation of NSGA-III, as an open source project. The ...

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NSGA-II in MATLAB

Non-dominated Sorting Genetic Algorithm II (NSGA-II) is a multi-objective genetic algorithm, proposed by Deb et al., in 2002. It is an extension and improvement of NSGA, which is proposed earlier by Srinivas and Deb, in 1995. In the structure of NSGA-II, in addition to genetic operators, crossover and mutation, two specialized multi-objective operators and mechanisms are defined and utilized: Non-dominated ...

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