A Transferable Sensitivity-Analysis Protocol for Evolutionary Multi-Objective Optimisation in Surrogate-Based Engineering Design: Validation on Synthetic Benchmarks and Enclosed Screw Conveyors
Applied engineering studies that use evolutionary multi-objective optimisation (MOO) rarely report confidence bounds on the Pareto-optimal solutions they recommend. This paper presents a four-stage sensitivity-analysis protocol that supplies them: cross-algorithm benchmarking, Friedman and Bonferroni-corrected Wilcoxon...