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A Matlab implementation of a multi-objective optimization algorithm called GADMS for key quality characteristic selection (feature selection).

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GADMS Implementation

This is an implementation of the multi-objective optimization method called GADMS for key quality characteristic selection (feature selection). The optimization method combines the GA with direct multiseach to perform the evolutionary process. For a detailed description of the method please refer to

A.-D. Li, B. Xue and M. Zhang, Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection, Information Sciences 523 (2020) 245-265. [BibTeX] [pdf] https://doi.org/10.1016/j.ins.2020.03.032

To run the code, please click on Main.m . The code requires the jar file (weka.jar) of Weka, which is a Machine Learning Software in Java.

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A Matlab implementation of a multi-objective optimization algorithm called GADMS for key quality characteristic selection (feature selection).

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