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This study rewrote a fractional-order particle swarm optimizer algorithmic equation and used an improved uniform design method (IUDM) to find the best combination for parameters of FPSO. Compared to PSO, FPSO makes a high convergence rate. In the improved FPSO, there are 4 parameters to influence effectiveness. Uniform design is an experimental method and suitable for multiple parameters and multiple...
A Taguchi particle swarm optimization (TPSO) with a three-layer feedforward artificial neural network (ANN) is used to model and optimize the chemical composition of a steel bar. The novel contribution of a TPSO is the use of a Taguchi method mechanism to exploit better solutions in the search space through iterations, the use of the conventional non-linear PSO to increase convergence speed, and the...
A Taguchi-based particle swarm optimization (TBPSO) algorithm is proposed for solving multi-objective flowshop scheduling problems (FSPs). The proposed TBPSO integrates particle swarm optimization and Taguchi-based crossover. The proposed TBPSO is the use of a PSO to explore the optimal feasible region and the use of the Taguchi-based crossover to exploit the better solution. As a result, the TBPSO...
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