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Suphatchakorn Limhengha

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Open access Aug 2026

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...

Suphatchakorn Limhengha, Supattarachai Sudsawat · 0 citations

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