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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...
A hybrid sliding level Taguchi-based particle swarm optimization (HSLTPSO) algorithm is proposed for solving multi-objective flowshop scheduling problems (FSPs). The proposed HSLTPSO integrates particle swarm optimization, sliding level Taguchi-based crossover, and elitist preservation strategy. The novel contribution of the proposed HSLTPSO is the use of a PSO to explore the optimal feasible region...
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