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In this study we address existing deficiencies in the literature onapplications of Particle Swarm Optimization to generate optimal designs. Wepresent the results of a large computer study in which we bench-mark bothefficiency and efficacy of PSO to generate high quality candidate designs forsmall-exact response surface scenarios commonly encountered by industrialpractitioners. A preferred version of PSO is demonstrated and recommended.Further, in contrast to popular local optimizers such as the coordinateexchange, PSO is demonstrated to, even in a single run, generate highlyefficient designs with large probability at small computing cost. Therefore, itappears beneficial for more practitioners to adopt and use PSO as tool forgenerating candidate experimental designs.

Generating Exact Optimal Designs via Particle Swarm Optimization: Assessing Efficacy and Efficiency via Case Study