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A Matlab implementation of the MPBPSO algorithm, a multi-objective particle swarm optimization algorithm, proposed for key quality feature selection in complex manufacturing processes.

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MPBPSO Implementation

This is an implementation of a multi-objective optimization method called MPBPSO for key quality feature selection (feature selection) in complex manufacturing processes. The optimization algrithm is a multi-objective probability-based PSO algorithm. For a detailed description of the method please refer to

Li, A.-D.*, Xue, B., & Zhang, M. (2023). Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Information Sciences, 641, 119062. [BibTeX] [pdf] https://doi.org/10.1016/j.ins.2023.119062

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 the MPBPSO algorithm, a multi-objective particle swarm optimization algorithm, proposed for key quality feature selection in complex manufacturing processes.

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