Generating exact optimal designs via particle swarm optimization: Assessing efficacy and efficiency via case study

Abstract

In this study we address existing deficiencies in the literature on applications of Particle Swarm Optimization (PSO) to generate optimal designs. We present the results of a large computer study in which we bench-mark both efficiency and efficacy of PSO to generate high quality candidate designs for small-exact response surface scenarios commonly encountered by industrial practitioners. A preferred version of PSO is demonstrated and recommended for generating optimal experimental designs. Further, in contrast to popular local optimizers such as the coordinate exchange, PSO is demonstrated to, even in a single run, generate highly efficient designs with large probability at small computing cost. Therefore, it appears beneficial for more practitioners to adopt and use PSO as tool for generating candidate experimental designs.