Efficient optimum solution for high strength Al alloys matrix composites

This papers describes a search technique to optimize the fabrication process conditions of the high wear resistance Al alloy matrix composites reinforced with different volume percentages of boron carbide particles. An experimental investigation was then carried out on the abrasive wear behavior of the composites in terms of abrasive particle size, weight fraction and applied load in pin-on-disc type of wear machine. Particle swarm optimization suffers from premature convergence problems when applied to high-dimensional problems, which results in a low optimization precision or even failure. In this study, a self-organizing hierarchical particle swarm optimizer based on the shrinking strategy is introduced for high dimensional function processing optimization of Al matrix composites in order to avoid the premature convergence effectively.