Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes
Abstract: Highlights•Quality feature selection is addressed by a multi-objective optimization model.•A multi-objective binary PSO algorithm is proposed for the model.•Probability-based mechanism is combined with mutation for updating solutions.•New pbest update and gbest selection strategies are proposed.•Experiments verify the effectiveness of the model and optimization algorithm.
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