Optimizing reliability-based robust design model using multi-objective genetic algorithm

• Provides exhaustive review of RBRDO models and formulation approaches.
• Performs comparative study of three RBRDO models and highlights advantages and drawbacks.
• Proposes an approach to achieve several solutions on Pareto front without providing preferential input.
• Considers three examples to demonstrate the methodology.

Reliability-based robust design optimization (RBRDO) is one of the most important tools developed in recent years to improve both quality and reliability of the products at an early design stage. This paper presents a comparative study of different formulation approaches of RBRDO models and their performances. The paper also proposes an evolutionary multi-objective genetic algorithm (MOGA) to one of the promising hybrid quality loss functions (HQLF)-based RBRDO model. The enhanced effectiveness of the HQLF-based RBRDO model is demonstrated by optimizing suitable examples.